Staff Scientist at NASA HEASARC

I am a software engineer working at RHEA Group for the European Space Agency (ESA), specializing in heliophysics archives. My educational background includes a mathematics degree from Complutense University of Madrid (UCM) and a master's degree from the Autonomous University of Madrid (UAM).

My responsibilities involve delivering data collected from ESA missions to the scientific community using software applications. This involves a multi-step process: data ingestion, subsequent transformation, and delivery through web applications for the scientific community's utilization.

Linkedin profile: https://www.linkedin.com/in/adrián-trejo-gil-886725142/

I am a graduate student in Artificial Intelligence at the University of Bologna, Italy. This project was carried out as part of my master's thesis in the context of the AGILE space mission, working as an intern at the National Institute for Astrophysics (Istituto Nazionale di Astrofisica, INAF).

• Editor, Astrophysics Source Code Library (ASCL, ascl.net)
• Astronomy Department, University of Maryland College Park (US)

Research Software Engineer with a focus on data reduction pipelines.
PhD in Astrophysics with a focus on Low Surface Brightness structures.

Graduated in 1993 from Novosibirsk State University, Russia. Master Degree in Computer Science with advancement in Physics and Mathematics.
1993 - 2000 - Budker Institute of Nuclear Physics. Automatization of physical processes (electron-positron collider, Novosibirsk, Russia; polarized electron source, Amsterdam, Netherlands).
2001 - 2018 - NASA Cassini mission, CIRS (Composite Infra-Red Spectrometer). Data processing. Software engineering.
2018 - present - University of Maryland, Small Bodies Node. Software engineering. Data processing. Database maintenance and distribution.

Postdoctoral Researcher at Lawrence Berkeley National Laboratory.

A software developer and researcher for the Radio Astronomy Research Group at the South African Radio Astronomy Observatory.

'm a Posdoctoral researcher at the Center for Astrophysics in Cambridge, MA. I develop new statistical methods and scientific open source software for the analysis of astronomical low counts data. I apply those methods to better understand the Galactic X-Ray and Gamma-Ray source populations.
I'm also interested in developing new methods and open data formats to combine data from multiple instruments, such as the Cherenkov Telescope Array Observatory (CTAO), H.E.S.S., HAWC and Fermi-LAT but also X-ray observatories such as Chandra. By advocating openess I hope to facilitate collaboration between astronomical observatories for better, more open and reproducible science.
I'm the lead developer of the open source software package Gammapy, sub-package maintainer of Astropy and a member of the CHASC astro-statistics collaboration. I'm also editor for the Astronomy and Astrophysics track of the Journal of Open Source Software JOSS.

Baptiste Cecconi is a radio astronomer working at Observatoire de Paris. He contributed to many low frequency space radio instrument (Cassini, STEREO, JUICE, etc.)

I'm a software developer and researcher at the South African Radio Astronomy Observatory. I work in radio polarimetry, galaxy cluster science, radio imaging and calibration algorithms and tooling for the MeerKAT radio observatory. I hold a BSc. (Hons.) and MSc. in Computer Science from the University of Cape Town and studying towards a Ph.D. in Radio Astronomy techniques at Rhodes University, South Africa.

Staff scientist, MMT/Steward Observatory

I am an Assistant Scientist at the National Radio Astronomy Observatory (NRAO) in Socorro, New Mexico. I support Very Large Array (VLA) operations and conduct research in star formation, spectroscopic model fitting, and novel methods in radio astronomy. Prior to my appointment at the NRAO, I was a Jansky Postdoctoral Fellow at the NRAO, and earned my Ph.D. in astronomy at the University of Arizona.

Senior in Mechanical Engineering with a minor in computer science at Columbia University School of Engineering and Applied Science.

Bruce is the head of the Keck Observatory Archive, and the NASA/NAVO representative on the IVOA Executive Committee. His interests include in image processing, and investigating the application of cloud platforms in astronomy.

Chi-kwan "CK" Chan is an Associate Astronomer/Research Professor at the University of Arizona. He leads both the Software and Data Compatibility and the Gravitational Physics Working Groups of the Event Horizon Telescope (EHT). CK created the collaboration's computational and data processing infrastructures and continues to manage them to this day. In addition to pioneering the use of Graphics Processing Units (GPUs) to accelerate the modeling of black holes, CK also developed many new algorithms to improve and accelerate modern research, built cloud computing infrastructures for large observational data, and applied machine learning algorithms to speed up and automate data processing.

Chris is a software developer at the Lunar and Planetary Lab's Planetary Image Research Laboratory at the University of Arizona. He has been developing science-driven mission planning tools for around 20 years, largely in Java, Perl, C, and Python.

• from 2023: "CCAT Data Center Manager" at University of Cologne
• 2014-today: PostDoc at University of Cologne, Germany
• Projects: GREAT/SOFIA, NANTEN-2, HIFI-ICC, CCAT
• 2009-2013: PhD Student /Astronomer on Duty at IRAM 30m, Granada, Spain
• Thesis: "The cold and dense interstellar medium of M 33"
• 2008-2009: Diplom-Thesis at Max-Planck Institut for Radioastronomy, Bonn, Germany
• Thesis: "An In-depth Study of the Interstellar Medium in the Barred Spiral Galaxy NGC3627"
• 2003-2009: Study of Physics at University of Bonn, Germany

Chris Jeschke is an Assistant Group Supervisor and Research Software Engineer within the Space Exploration Sector at Johns Hopkins Applied Physics lab, where he enjoys applying the latest in cloud technologies and software engineering tools to develop novel solutions that enable space science and exploration.

I earned my Ph.D. at the Università Statale di Milano, working in the field of Ultra-high energy cosmic ray physics focusing on scientific software development and data analysis for the Pierre Auger Observatory.
I am currently a post-doctoral researcher at the Observatoire de Paris, where I work mainly as a developer and maintainer of Gammapy, an open-source Python package for very-high-energy astronomy.

I am a software engineer with a decade of experience in industry development, and I am relatively new to development in astrophysics.
I have experience with:
* Python
* postgres
* mysql
* javascript
* react
* typescript
* php
* ruby/rails
* mongoDB
* AWS
* Kubernetes
* Kafka
* Docker
* git

My past experience includes working at:
* RoundingWell
* Emma/Campaign Monitor
* Lonely Planet
* Dutchie

Dr Darg is a member of the PDS Small Bodies Node at the University of Maryland, where he mostly writes software and dev-ops operations in support of the group's research. He has a DPhil in Astrophysics from Oxford University, and has held postgraduate positions at Oxford and Johns Hopkins University.

Daniel Wright was born in Wakefield, United Kingdom in 1982. He received the M.Eng degree in electronic engineering from the University of York, York, United Kingdom, in 2013. He then received the Ph.D degree in electronic engineering from the University of Sheffield, Sheffield, United Kingdom in 2021. From 2014 to 2015 he was with the RAL Space division of Rutherford Appleton Laboratory, Didcot, United Kingdom, focusing on the electronic design of spacecraft instrumentation. He is currently with the Oxford e-Research Center, University of Oxford, Oxford, United Kingdom, working on the deign of software for the Science Data Processor of the Square Kilometer Array. His research interests include radio astronomy algorithms and GPU acceleration.

Team Lead, Radio Software Group at the National Research Council of Canada - Dominion Radio Astrophysical Observatory

Contributing to the development of IVOA standards since 2003.

Demitri Muna is a support scientist at the Chief Science Data Office at NASA Headquarters. He has a long background in developing astronomical software on projects like the Sloan Digital Sky Survey and Starchive, and has several open source packages available on GitHub. Demitri created and has taught the SciCoder workshop for early career astronomers since 2010. He will always ask you about the user interface for your code before the nuts and bolts behind it.

Dustin Lagoy is a researcher at the Dominion Radio Astronomy Observatory in Penticton, British Columbia. He focuses on software development for processing and distributing high-volume radio telescope data, as well as telescope control and digital systems. Before working in radio astronomy he developed hardware and algorithms for airborne and space-based remote-sensing radar systems at the NASA Jet Propulsion Lab and the University of Massachusetts.

Dustin Swarm is a postdoctoral research scholar at University of Iowa. His research is in machine learning applications in high-energy astrophysics and cataclysmic variable systems. He also conducts ray tracing simulations for X-ray instrumentation.

PhD student in Astrophysics at Università di Bologna (Unibo, Italy) and Istituto di Radioastronomia (INAF-IRA, Italy).
My main fields of interest are radio galaxies and galaxy clusters at low frequency and development of software for radio astronomy.

Emmanuel Joliet has over 20 years of experience in the space and aeronautical industries, working on software development, data visualization, and data processing. His background is space engineering and astronomy.

He joined Gaia Science Operations team at ESAC in 2006 and contributed to key aspects of the mission.

In 2015, he moved to California to become the UI team lead for the NASA/IPAC Infrared Science Archive at Caltech.

Since 2020, he took the role of leading the Roman SSC pipeline development team and configuration management.

He is the project lead of Firefly (https://github.com/Caltech-IPAC/firefly), an open-source web-based UI library for astronomical data archive access and visualization.

He is a Cloudera Certified Developer for Apache Hadoop and HBase Specialist, and has a certificate in Machine Learning and data analytics from Caltech. He is also a HEALPix developer.

He's trained as Cloud Architect and developer using AWS, Azure and Google Cloud platform tools.

Publications: https://orcid.org/0000-0003-4824-0102

SE is a specialist of solid phase spectroscopy and surface studies. Currently a coI of several instruments on BepiColombo, formerly French team leader of VIRTIS on Rosetta. Coordinator of the VESPA activity in Europlanet programmes.

Eva Sciacca (Ph.D. in Mathematics for Technology) is a Computer Scientist and Information Technology researcher with over a decade of experience, working at the Istituto Nazionale di Astrofisica (INAF) since 2012. She has been extensively involved in cutting-edge research activities in the field of big-data, visual analytics, and machine learning. She has been instrumental in facilitating astrophysical data processing on distributed computing infrastructures, with a special focus on High-Performance Computing (HPC) and Cloud Computing. Over the past five years, Eva has played a pivotal role in several European-funded projects, including VIALACTEA, INDIGO-DataCloud, AENEAS, EOSC-Pilot, NEANIAS, and SPACE. She has been at the forefront of harnessing the potential of the European Open Science Cloud (EOSC) and the European High-Performance Computing Joint Undertaking (EuroHPC JU) to advance scientific research, and she is actively involved in the IT activities of the Square Kilometre Array (SKA) Regional Centres.

Mr. Fabio Hernandez has been working in the field of computing for high energy physics research for more than 25 years. Affiliated to IN2P3/CNRS, the French national institute for nuclear physics and particle physics, he is currently the technical leader of the French component of the data processing infrastructure for performing the Legacy Survey of Space and Time (LSST) of the Vera C. Rubin Observatory.

Prior to that position, he spent several years as a senior international scientist visiting the Institute of High Energy Physics in Beijing (China) and served as an expert in the Office for science and technology of the Embassy of France in China. As the deputy director of France’s IN2P3 computing center and technical leader of the French contribution to the Worldwide LHC Computing Grid (WLCG), he was deeply involved in planning, prototyping, deploying and operating the global computing platform designed for processing the data produced by CERN’s Large Hadron Collider (LHC).

During his career, he has been very active in several projects sponsored by the European Commission in the field of distributed computing for science in Europe and in Latin America. He has held positions leading engineering teams in charge of software development for massive data storage, data center operations and distributed computing for international science projects.

Mr. Hernandez received his BSc. in computer science from University of Los Andes (Bogota, Colombia) and his MSc. in computer science from University Lyon 1 (Lyon, France).

I'm working at CDS since 1987 as a software engineer. I'm working in the Aladin team and contributes to IVOA since 2002. I am involved in the SKA SRC network since spring 2022.

Rubin Data Services Lead, Rubin Observatory

Genie Hsieh received her Ph.D in Computer Engineering at the University of New Mexico. She has 10+ years of experiences in numerical methods development for simulation and modeling and scientific software development in the field of high performance computing, electrical systems, biology and image processing. She is a Software Engineer at NRAO now applying her expertise in HPC and medical image analysis to radio astronomical imaging techniques.

Technologist and software developer @ INAF - Osservatorio Astronomico di Cagliari

Dr Gordon WH German is a CSIRO Senior Engineer for the Australian SKA Regional Centre, located in Perth Western Australia. He specialises in data reduction pipelines for ASKAP science projects, and is involved in the global SRCNet effort to provide data handing and reduction for the upcoming Square Kilometre Array Observatory.

I am a student at the Complutense University of Madrid in Spain, currently getting my Master's degree in Astrophysics. I am currently learning and working with different implementations of Machine Learning and Deep Learning in both regression and classification using datasets of galactic properties and images from deep survey missions.

At the moment I am working on my Master's Thesis with the European Space Agency (ESA) and the spanish Astrobiology Center.

Ph.D. in radio astronomy
Dutch National Weather Institute
Dutch National Cancer Institute
Efficient computing
GPU programming
From 2015 - present at The Netherlands eScience Center

As an Operations Data Scientist at SKAO, I'm part of the team tasked with developing and prototyping the software for the globally distributed network of SKA Regional Centres.

Postdoctoral Researcher

MIT Kavli Institute for Astrophysics and Space Research

Massachusetts Institute of Technology

As an astronomical software developer at the Smithsonian Astrophysical Observatory, I have worked on data pipelines for instruments which produce spectra and scan the sky. At MIT, Cornell, and MIT again, worked on spectra of solar system objects, positions of stars and planets and modelled planetary rings and multiple stars from occultation data, all of which I wrote pipelines to reduce. Over the past I also have worked on inclusion, diversity, and equity issues in astronomy, locally, nationally, and internationally.

John Romein is researcher at ASTRON (the Netherlands Institute for Radio Astronomy) since 2004, and is Principal Investigator of several projects on High-Performance Computing for radio astronomy. His primary focus is the use of accelerator hardware, such as GPUs and FPGAs. John Romein received his Ph.D. in Computer Science at the Vrije Universiteit, Amsterdam in 2001, on distributed game-tree search. As a postdoctoral researcher, he solved the game of Awari using a large computer cluster and did research on parallel algorithms for bioinformatics. His research interests include high-performance computing, parallel algorithms, networks, programming languages, and compiler construction.

Jonathan is a senior DevOps engineer at Rubin Observatory, and now contributes as a contractor through J.Sick Codes Inc. from Canada. Jonathan's main contributions are to Rubin's documentation platform, science platform, and internal developer service infrastructure, Jonathan's go-to technologies are Python and FastAPI for web applications, React/Next.js for front-end applications, Kafka for event streaming, and Kubernetes with Argo CD for application deployment. Previously Jonathan received a PhD in astronomy from Queen's University for a near-UV to near-IR study of the Andromeda Galaxy's integrated and resolved stellar populations with CFHT.

I am an astronomer interested in time-domain astronomy, photometry extraction methods, data-driven solutions, machine-learning applications for astronomy, and software development for data analysis.
I got my Ph.D. in Astronomy in 2018 at Universidad de Chile. I am currently a research scientist at Bay Area Environmental Research Institute at NASA Ames.

Julie is a Professional Research Assistant at the Laboratory for Atmospheric and Space Physics (LASP), partnered with the University of Colorado Boulder. She is passionate about leading and facilitating technical work and group efforts across organizational and cultural boundaries, and building relationships within communities in the process. Her interdisciplinary background is fitting for this kind of work; she comes with a B.S. in applied physics (2015), an M.S. in atmospheric science (2018), and experience working with several space mission software and community projects—in particular, including being the principal investigator for the Python in Heliophysics Community (PyHC).

Karel Adamek is a departmental lecturer at the University of Oxford and currently contributes to the Square Kilometre Array with an interest in many-core architectures and data processing in astronomy in general.

ATLAS Co-PI and senior software engineer Larry Denneau was the chief software architect of the Pan-STARRS moving object processing system (MOPS) and adapted it to ATLAS. MOPS is a software package that automatically identifies solar system objects (in particular hazardous asteroids) in the ATLAS and Pan-STARRS data streams.

Larry has been poking at computer keyboards since the early 80s and received his B.S.E.E. from the University of Arizona, whereupon he quickly escaped academia. His software career has spanned projects ranging from surface metrology for the semiconductor industry, medical scheduling, geophysical instrumentation, and a dot-com Internet startup that actually turned a profit. Now back in academia, Larry received a Ph.D. in astrophysics from Queen's University Belfast and has enthusiastically joined the effort to protect the earth from dangerous asteroids.

I work on the Subaru Prime Focus Spectrograph Galactic Archeology project.

• Project Manger for the XMM-Newton SSC activities in Strasbourg
• Project manager for ground segment software of the MXT camera of the SVOM spacecraft
• Former data model working group chair in the IVOA

Head Oh the IT department of Observatoire de Paris
Technical manager of Paris Astronomical Data Centre
Chair of the IVOA applications working group

Automation Engineer working at the Astrophysics and Space Science Observatory of Bologna (OAS), a branch of Italian National Institute for Astrophysics (INAF).

Manuel Parra Royón is a postdoctoral researcher at the Instituto de Astrofísica de Andalucía (IAA-CSIC) in Spain. His research interests include data mining, machine learning, and big data analytics. He is currently working on the development of the SKA Regional Centres Network for the Square Kilometre Array Observatory (SKAO).

Manuel received his Ph.D. in computer science from the University of Granada in 2019. His dissertation focused on the use of machine learning for data mining in cloud computing. He also holds a Master's degree in Data Science and Intelligent Systems and a degree in Computer Science.

Before joining the IAA-CSIC, Parra Royón worked as researcher at the University of Granada, where he was involved in several projects on big data analytics, Machine Learning, IA and Science platforms. He also worked as a data engineer at the European Organization for Nuclear Research (CERN) in Geneva, Switzerland.

Parra Royón is passionate about using data science to solve real-world problems. He is particularly interested in using data mining to improve the efficiency and effectiveness of large-scale scientific experiments.

SW Engineer at Aurora Technology. Since 2013, working as external personal for the ESAC Science Data Center (ESDC) of the European Space Agency (ESA)
MSc in Computing Engineering
MSc in Astronomy
Interests: ML, IA

2022-Present - PhD at Heidelberg University & Max Planck Institute for Astronomy & Heidelberg Institute for Theoretical Studies;
2020-2022 - MSc in Computer Science at Moscow Institute of Physics and Technology;
2016-2020 - BSc in theoretical astrophysics at Moscow Institute of Physics and Technology

Mark Kettenis is a Software Project Scientist at the Join Institute for VLBI in Europe. He is involved in the various software projects for processing of VLBI data, from data acquisition all the way though data processing software in the end-user domain.

Software engineer working on data manipulation tools and the Virtual Observatory.

Martin Beroiz is a strong Python and C programmer with skills in web development and the design of libraries and applications. He is currently employed by the California Institute of Technology (Caltech) in a scientific staff position for the LIGO Laboratory. His interests include API Design, UI/UX, Astronomy Software and Automation.

Working at the CDS from 2018, I did develop expertise in software development and visualisation for astronomy. Since then I did contribute to the maintenance of open source astronomy python libraries such as Astroquery, MOCpy and Aladin Lite. My main work is related to the development of the web viewer Aladin Lite. I am also part of SKA where I am involved in the SRC Network as a member of the team specialized in the visualisation of large radio data cubes.

Max Brodheim is a Scientific Software Engineer and Data Reduction Pipeline Lead at the W. M. Keck Observatory.

Meredith Rawls is a research scientist in the Department of Astronomy at the University of Washington. She writes software and data pipelines to handle terabytes of nightly images from Vera C. Rubin Observatory's Legacy Survey of Space and Time, which will produce the highest resolution movie of the night sky ever made. Her background is in stellar astrophysics, and she earned her PhD from New Mexico State University. Lately she studies the plethora of newly-launched commercial satellites in the hopes observers worldwide don't lose the sky, and she co-chairs SatHub at the new International Astronomical Union Centre for the Protection of the Dark and Quiet Sky from Satellite Constellation Interference (IAU CPS).

I have always loved research in galaxies and larger-scale objects. I pursued stargazing and astrophotography in my early life. I received an Associate of Science from Dixie State University (2009), where I worked under a NASA undergraduate grant to relate solar cycles to satellite observations of oxygen and temperature variations within the ionosphere. I received a Bachelor in Physics Astronomy from Northern Arizona University (2012), where I worked under a NASA undergraduate grant to map ancient Mars environments inferred from 10,000 crater morphologies I cataloged. I received a Ph.D. and Master in Physics from the University of Utah (2021 ), where I spectroscopically detected -1,600 strong galaxy-scale gravitational lens candidates in preparation to study how galaxies form and evolve.

Miguel Flores R. is a Ph.D. student at the University of Guadalajara working on the applications of ANN for processing and fitting models of stellar spectra. He is also a Sr. Data Science Globant developing models for systems that go from optimization in the energy and natural resources sector, to gaming live operations. Flores holds a BSc and MSc degrees in physics from the University of Guadalajara. During his former years, his research interests were in the areas of quantum information theory and complex systems focused on discrete systems dynamics. In 2018 has the opportunity of working in the Global IA and Data Science team at HP Inc. in Palo Alto, CA, working on human behavior models and web interactions. His current research project explores the multidisciplinary application of IA structures to process, analyze and model big dimensional systems.

I am an assistant professor at Strasbourg University and a collaborator of the Centre de Données Astronomiques de Strasbourg (CDS).

Postdoctoral researcher at the University of Arizona

Nicholas is a Telescope Computer Engineer at the National Research Council's Dominion Radio Astrophysical Observatory up in Canada. He builds control systems for a number of on-site radio telescopes. He is also a PhD candidate at the University of Victoria working on Radio Frequency Interference monitoring.

HiRISE Science Operations and Software Engineer
Lunar and Planetary Laboratory
The University of Arizona
Tucson, Arizona

I am a Technologist at the Italian Institute for Astrophysics. I am involved in the development of real-time analysis pipelines for high-energy projects such as AGILE, CTA, and ASTRI Mini Array. My research is focused on the implementation of Deep Learning models to analyze high-energy astrophysical data.

Distinguished Professor Oleg Smirnov holds the SARAO Research Chair in Radio Astronomy Techniques & Technologies (RATT) at Rhodes University, and also heads the Radio Astronomy Research Group at the South African Radio Astronomy Observatory (SARAO). He is an expert in observational radio interferometry, calibration and imaging algorithms, data processing and software infrastructure for the new generation of radio telescopes, including South Africa’s MeerKAT telescope, a precursor for the Square Kilometre Array. His RATT group has produced some of the most spectacular MeerKAT images published to date.

I am a research professor at The George Washington University. My research area is multi-wavelength observations of magnetic cataclysmic variables with a current focus on radio observations. I have been developing scientific software for over 40 years. My first project was developing a data acquisition program for an optical polarimeter at the South African Astronomical Observatory. The program was written in the C programming language for an IBM AT personal computer. In the mid-90s, a colleague and I advocated for Python to be the primary data analysis language for astronomy. As a result, I spent a number of years at the Space Telescope Science Institute developing core Python packages for scientific computing and astronomy, e.g., numerical python/numpy, PyFITS, and matplotlib. In the last five years, I have migrated from Python to the Julia programming language, because I believe it is the future of scientific programming. I am currently developing various core Julia modules and applications for astronomy. Two such modules are the Astrometry module for precise time and position calculations, and Visfit for analyzing radio interferometric data.

I don't have a life.

Ramon Ramirez-Linan is CTO and Co-founder of Navteca, a small business that focus on helping scientific organizations like NASA, NOAA and USGS to accelerate new technology adoption to increase research and discovery pace.
Ramon works primarily on the NASA Science Cloud at GSFC , his team deploys and managed Open Science Studio, a Jupyterhub + HPC based platform

MSc student in Artificial Intelligence at the University of Bologna. Bachelor's degree in Computer Science at the University of Pisa. Intern at the National Institute of Astrophysics (INAF).

Rob Seaman is the Data Engineer and a Co-investigator for the Catalina Sky Survey (CSS) of the Lunar and Planetary Laboratory at the University of Arizona. Using multiple survey and follow-up telescopes in Arizona and Australia, CSS has discovered nearly half of all near-Earth asteroids, including four impactors and two mini-moons. Rob serves as chair of the IAU Time Domain working group and co-chairs the SPIE Observatory Operations conference. His diverse interests include archiving, rapid transient response, data compression (FPACK), and timekeeping in astronomy.

Dr. Ronan Higgins is a postdoctoral researcher at the University of Cologne. He is currently working as the deputy project engineer for the CCAT observatory. He did his PhD at Maynooth university on the HIFI instrument flown on board the Herschel space observatory. After his PhD he started a postdoctoral position at the University of Cologne where he worked as the support astronomer for the NANTEN2 telescope in norther Chile with particular focus on the SMART heterodyne array receiver. As SOFIA (Stratospheric Observatory for Infrared Astronomy) operations ramped up in 2015 he joined the upGREAT team and worked as an instrument scientist with a focus on the calibration software and housekeeping system. Since 2021 he works on the CCAT observatory which is currently under trial assembly in Germany with shipment to Chile planned for 2024.

Sara de la Fuente is an Aerospace Engineer with more than two decades of experience working in the design and execution of space operations for the European Space Agency (ESA). Her experience in ESA missions is very extensive, working in the Flight Dynamics Interplanetary Team for missions like Mars Express and Rosetta, in the Galileo Constellation Ground Control Segment Team, and in the Planetary Science Ground Segment Team for BepiColombo and JUICE missions.

She has also extensive experience in team coordination and technical leadership in Space Operations and Development, working as Flight Dynamics Engineering Team Coordinator for the European satellite navigation constellation Galileo, and as Science Operations Development Team Coordinator for the BepiColombo probe to Mercury.

She is currently the Science Operations and Software Development Manager of the RHEA Group Service Team at the European Space Astronomy Centre (ESAC) for the following Planetary missions: Mars Express, ExoMars TGO, BepiColombo, JUICE & EnVision.

M.C in Physics by Universidad Nacional Autónoma de México.
PhD in Astrophysics by Universidad de la Laguna, Tenerife, Spain.
Researcher at Universidad de Guadalajara, México.
Main research topics: evolution of low-mass stars and applications of AI in Astronomy.

Researcher at the Institute of Astronomy and Meteorology of CUCEI, University of Guadalajara, México.
Research areas: Application of Artificial Intelligence techniques in Astronomy.
Kinematic and polarimetric analysis of Planetary Nebulae and symbiotic systems.
Determination of distances to Planetary Nebulae.

Simone Riggi received the Ph.D. in Physics from the University of Catania (Italy) in 2010. He currently holds a permanent position as Research Technologist in the IT and Radioastronomy group of the INAF-Osservatorio Astrofisico Catania (Italy). Previously, he was a post-doctoral fellow at the Universidad de
Santiago de Compostela (Spain), Centro Siciliano di Fisica Nucleare e Struttura della Materia (Italy) and visiting student at the Forschungszentrum Karlsruhe (Germany).
His research activity mainly focuses on Radioastronomy, High-Energy Cosmic Rays, Muon Tomography, Computer Science. He was involved and contributed to several research and technological projects, among them the Square Kilometer Array (SKA) as member
of the Dish and Telescope Manager consortia, the Australian Square Kilometre
Array Pathfinder (ASKAP) as member of the EMU survey, the H2020 AENEAS
project for the design of SKA Regional Data Centers, the Pierre Auger Observatory and the Muon Portal project. Present technological activities include the development of monitoring and control systems for medium/large scientific facilities, simulation and modelling, design and development of data analysis software for astronomy and astroparticle physics, distributed computing and
scientific visualization. He is author/co-author of more than 100 scientific publications and conference communications in these research and technological fields.

Simon is the co-head of the Research Data & Software group at the AAO in Macquarie University, and leads a range of software and data projects, including the Data Central Science Platform. In a former life, he was a research astronomer, studying stellar oscillations and exoplanets.

Solai Jeyakumar
Departamento de Astronomia
Universidad de Guanajuato
Mexico

Associate Astronomer at NSF's NOIRLab, Survey Data Scientist for the Astro Data Lab and Lead Scientist for the CSDC Spectroscopic Services

I am a graduate student who is interested in how mathematical tools can be used to unravel the mysteries of the universe. My current areas of interest are mathematical modeling, data analysis, and space plasma physics. I am currently working with Dr. Kristopher Klein of the University of Arizona's Lunar & Planetary Laboratory. Together we are working on improving and quantifying data analysis techniques which will be applied to the multi-spacecraft NASA mission HelioSwarm.

Data Scientist at LAPP, CNRS, working on deep learning for Imaging Atmospheric Cherenkov Telescope and on open software in the astronomy and particle physics communities

Scientific Data Analyst at the National Radio Astronomy Observatory.

Trey Roby been a programmer in the industry for years and joined Caltech/IPAC back in the Spitzer days and now works at the IRSA archive doing web development.

Currently his focus is Firefly, used by many web applications and archives at IPAC and Rubin.
This development involves building reusable web applications using Java, JavaScript, and the many modern technologies such as React and Docker.

I am a Senior Staff Scientist at the Space Telescope Science Institute (STScI). Since 2020, I have been leading science support for the Roman Space Telescope data pipelines and the Roman archive.

• Leading Member of INAF contribution HPC, Big data and Quantum Computing for the Italian National Center (EU Recovery Plan)
• Member of the Board of Directors of the COMETA Consortium (http://www.consorzio-cometa.it/)
• Member of the INAF Committee for HPC
• President of the INAF National Science Group for the Technology (RSN5 2020-2023)
• INAF Leading Member for the formal agreement INAF-CINECA for HPC resources un to 2022
• INAF PI of the formal agreement CINECA - ESA GAIA DPCT for HPC resources for the Astrometric Verification Unit for the ESA Gaia Mission
• PI of the MoU signed between INAF-Catania Astrophysical Observatory and University of Malta on: "Scientific research cooperation Educational activities in subjects of common interest; Mobility of staff and researchers; Mobility of students including doctoral candidates; Exchange of information and sharing of know-how "
• co-PI of the MoU between IDIA and INAF for the iDaVIE Virtual Reality project(https://idavie.readthedocs.io/ en/latest/#) “ICT-VR-Lab & MeerKAT Fornax Survey teams";
• PI and co_PI of many project for the Visual Analytic tools (VisIVO and Vialactea visualization tools http:// palantir7.oats.inaf.it/visivoweb/, https://www.oact.inaf.it/2019/07/16/vialactea-visual-analytics-tool-for-star- formation-studies-of-the-galactic-plane/)
• PI for the system solver code on HPC and pre-Exascale systems (ESA GAIA-AVU)

Valentina Cesare is an astrophysicist and a fixed-term researcher at the Osservatorio Astrofisico di Catania and she is currently working on the porting of scientific applications related to Gaia space mission (specifically, the Gaia AVU-GSR Parallel Solver) on HPC, HTC, and GPU environments, to the development of workflows for scientific visualization, and to other activities in the context of Centro Nazionale di Ricerca in High Performance Computing, Big Data and Quantum Computing–PNRR in Future Computing. She got the Ph.D. in Physics and Astrophysics at the University of Torino, with a thesis about modified gravity.

Victoria Catlett is a software engineer at the Green Bank Observatory.

I am a radioastronomer and data steward, currently working at INAF - Istituto di Radioastronomia (IRA) in Bologna (Italy), member of the Italian Centre for Astronomical Archives (IA2), the IVOA Radio Interest Group and the Italian Square Kilometre Array Regional Centre (ITA-SRC).

I work for development and maintenance of the Italian radio telescopes data archive, and in promoting Open Science practices, e.g. by supporting IVOA initiatives and developments of data centres for future facilities, like the Square Kilometre Array (SKA).
I am also active in the fields of radio polarimetry/magnetism (mainly in Active Galactive Nuclei) and cosmology with radio telescopes.

After completing my PhD in Astronomy in Padua (Italy) in 2022, I started in dec 2022 a 2-yr post-doctoral contract at the Observatory of Paris. My work deals with the search and characterization of giant planets and brown dwarfs around stars observed by imaging using state-of-the-art reduction algorithms, in order to compare their observed and theoretical properties.
I have also worked on a survey with the SPHERE instrument called BEAST, which has identified substellar companions around young B-type stars. My current efforts are part of the general quest to understand the mechanisms of substellar companion formation.

NED task lead

Yash Gondhalekar recently graduated with a bachelor's degree in Computer Science from the Birla Institute of Technology and Science, Pilani.