CADC Software Team member.

Senior Software Engineer with the Fermi Science Support Center at NASA's Goddard Space Flight Center specializing in scientific analysis software and high performance systems. 10 Years experience with high-energy astronomy software written in C++ and Python. B.S. Physics 2011, M.S. Computer Science 2019.

Editor, Astrophysics Source Code Library

Software engineer for SIMBAD (CDS) for 20 years.

Senior Applications Developer for IRSA at Caltech/IPAC

I am an astronomer with a background as a software programmer. I graduated in physics from the University of Pavia in Italy, and in 2012 I got my PhD, working at UCSC on the blind search for gamma-ray pulsars with Fermi-LAT. Although I am mostly interested in high-energy astrophysics, particularly pulsars and various aspects of statistics, I am going to talk here about a side project: the software to prepare observations with a multi-fibre spectrometer. This challenge has taken me the last few years, leading to some interesting algorithms and statistical tools, and it is coming to an end as we approach its delivery, and MOONS will start taking data.

Astronomer at the Observatoire de la Côte d'Azur, Nice, France

Bjorn Emonts from at the National Radio Astronomy Observatory is the User Community Liaison for the CASA Team. His research interests involve the early evolution of black holes, galaxies and protoclusters, with emphasis on the role of cold molecular gas on large scales.

Software Engineer at AAO Macquarie University. Working on innovative containerised services and applications at Data Central and part of AAO team maintaining ESO pipelines. Previously SALT Astronomer at SAAO. Astronomy PhD with research interests in late stages of binary stellar evolution and planetary nebulae. Author of 2dF field configuration algorithm that uses simulated annealing to optimise allocation of science targets to fibres.

Canadian Astronomy Data Centre (CADC)

I am an astronomer turned Research Software Engineer. I work at Caltech/IPAC to build and improve tools, e.g. Python libraries and Science Platforms to provide ways to access data in the NASA/IPAC Infrared Science Archive. Prior to joining IPAC, I was DiRAC Fellow in the data engineering team at the Institute for Data Intensive Research in Astrophysics and Cosmology in Seattle. I am a developer and maintainer of several open-source astronomy libraries and their infrastructure (e.g. astroML, astroquery, astropy) and I very much enjoy contributing to upstream projects as well in the wider Scientific Python ecosystem. I have a keen interest in finding ways to make tools more sustainable. I am a fellow of the Software Sustainability Institute.

I am a first-year PhD student working on intelligent real-time scheduling algorithms for the New Robotic Telescope New Robotic Telescope at the Astrophysics Research Institute at Liverpool John Moores University.

See https://gijsverdoeskleijn.org

Gregory Dubois-Felsmann of Caltech/IPAC is the Vera Rubin Observatory Science Platform Scientist as well as the pipeline system designer for the NASA SPHEREx mission.

He received his Ph.D. in experimental high energy physics from Caltech in 1992, and has conducted research in HEP, atmospheric chemistry, and international environmental policy, and led large-scale scientific computing efforts in HEP and astronomy.

I am currently an Associate Professor in the University of Alberta Department of Physics.

My primary research focuses on multi-wavelength observations of compact objects (white dwarfs, neutron stars, and black holes). My favorite objects to study are X-ray binaries, neutron stars or black holes that accrete material from a nearby donor star. Although their name comes from the fact that they emit brightly in the X-rays, X-ray binaries are also observable across the entire electromagnetic spectrum. I also have strong interests in Education & Public Outreach.

I am a researcher at the Chilean Virtual Observatory (ChiVO) and the Universidad Técnica Federico Santa Maria (UTFSM). My master's degree is in Information Technology from UTFSM. Currently, I am completing my PhD at the same university. During my professional career, I have been involved in and led teams focused on the application of machine learning models to solve problems in a variety of disciplinary areas. This includes implementing the solutions in a production environment as well. In addition, I am certified in data science by NVIDIA. Astroinformatics, deep learning, data science, and Tensor Methods in Machine Learning are some of my research interests.

DPhil candidate at the OeRC, University of Oxford, supervised by Prof. Wes Armour and Dr. Karel Adámek.

www.linkedin.com/in/jackwhite10

Software Architect of the LOFAR Telescope.

After completing my PhD in Computer Science, I have worked for over a decade on expanding the capabilities of LOFAR, focussing on the real-time and HPC of our central processing facilities (such as our COBALT GPU correlator). Aside from the occasional coding, I now help others setup LOFAR for the future, as part of our LOFAR2.0 programme. We're introducing a new set of great technologies that make the life of developers simpler, and the telescope a lot more powerful.

Jessica Mink has been a developer of astronomical software at MIT, Cornell, and the Smithsonian Astrophysical Observatory for temporal, spectral, and spatial analysis of astronomical data for almost 50 years but only started distributing software and publishing papers about it with the advent of ADASS in 1991 and the WOrld Wide Web in 1993. Several of her ADASS presentations have been expanded into papers in refereed astronomical journals.

Astrophysicist at NASA Goddard Space Flight Center

Jürgen studied at the TU Munich and MPE in Garching and then moved to IAP, Paris and subsequently IRAP, Toulouse. He is CNRS staff scientist since 2001. Jürgen is working in the field of gamma-ray astronomy on data analysis and instrumentation, initially using COMPTEL and INTEGRAL/SPI on the topics of nucleosynthesis and antimatter, followed by Fermi and more recently the Cherenkov Telescope Array (CTA) on the topics of cosmic-ray physics. He chaired the CTA consortium board for 9 years and recently stepped down to focus on sustainability issues in astronomy. Since June 2022 he heads CTA's Office for Environmental Footprint Reduction.

After getting a master's degree from a computer science and applied mathematics french engineering school, I was recruited by the CDS (Centre de Données de Strasbourg).
My initial tasks were to develop python packages for astroquery allowing python users to fetch catalogue data from the CDS databases. I then largely contributed to MOCpy, a python/rust library that implements the MOC IVOA standard.
Nowadays, my main work consists in developing Aladin Lite v3, a major WebGL upgrade of the visualisation web app Aladin Lite.

Software Engineer working for the ESA during more than 15 years

I am an Astronomical Software Engineer at Princeton University working on the Rubin Observatory Legacy Survey of Space and Time project.

Dr. Neil Ernst is Associate Professor of Computer Science at the University of Victoria. Prof. Ernst and his students work at the intersection of software requirements and software design. His research leverages past experiences consulting with large government stakeholders. Current projects include analyzing software design discussions, technical debt in software, and engineering challenges in data science systems. Previously he was a senior researcher at the Software Engineering Institute, Carnegie Mellon University, and holds a PhD from the University of Toronto.

Innovation Scientist at the Center for Astrophysics | Harvard & Smithsonian (CfA) and the American Astronomical Society (AAS). Based in Cambridge, MA, USA.

Pilar de Teodoro studied Applied Physics at Universidad Autonoma de Madrid and at the Niels Bohr Institute in Copenhagen. After returning to Spain from Denmark, she joined Oracle Iberica to become a consultant in several projects in the technology area working as DBA, Application Server administrator and Portal Developer. More than 8 years later, in 2006, she joined the Gaia team at ESAC in the role of SOC DataBase Administrator and database testing manager. After working more than 8 years in the Gaia SOC, she joined the ESAC Science Data Center (ESDC) where she works as database expert and is themission technical interface for the Gaia archive.

I did my PhD at the Tata Institute of Fundamental Research, India working at the National Center for Radio Astrophysics at Pune. During my PhD, I learned the the tools and tricks of radio astronomy via building parts of the Giant Meterwave Radio Telescope (GMRT) and extensively participating in its commissioning. I later moved to the National Radio Astronomy Observatory (NRAO), USA, where I now work as a Scientist. My current research focus in on algorithms for calibration and imaging of wide-band telescopes for wide-field full-Stokes imaging, related scientific software development, and application to Galactic astronomy. A recently developed research interest is in the area of High Performance and High Throughput computing.

Currently I lead the Algorithms R&D Group (ARDG) at NRAO and also serve as the System Scientists for the Data Management and Services division of NRAO, were the team is working on developing data processing solutions for the VLA, ALMA and ngVLA telescopes.

Researcher and technologist in Information Technology since 1999, worked at INFN, SISSA and, since 2015, at INAF. Teaches Basic IT (Bash and Python) and Open Data Management and Cloud at the Trieste University. Main research interests are big distributed computing infrastructures (Grid and Cloud), data interoperability (IVOA involved), authentication and authorization.

Stephen works as a data specialist at the Canadian Astronomy Data Center. He has developed MegaPipe a pipeline to handle data from MegaCam on CFHT and WIRwolf for data from WIRcam, also on CFHT. He also designed the Solar System Object Image Search service at the CADC.

Software engineer at CDS

Technical lead of the Aladin project

AAO Macquarie Software Technical Lead. Long career through the three phases of the AAO existence, involved as a Software and/or Systems engineering on many of the AAO's instrumentation projects (E.g. 2dF, TAIPAN, AAOmega, HERMES, HECTOR, GHOST, OzPoz (FLAMES), Echidna.) Primary maintainer of the AAO's DRAMA API

Vicente is a Senior System Engineer at ESA’s European Space Astronomy Centre in Madrid (Spain) where he is responsible for development and operations of Science Ground Segment Systems.
Vicente leads System Engineering activities for the definition, implementation and operations of ESA Datalabs, which aims at consolidating a reference platform for scientific analysis of multi mission information.
Previously at ESA, Vicente has been in charge of development and operations activities of Europe’s Space Situational Awareness (SSA) Precursor Services as well as Ground Segment Systems at ESA’s European Space Operations Centre in Darmstadt (Germany) for missions like Integral, Rosetta, Mars Express, XMM-2000, Cryosat, etc
Before joining ESA, Vicente has been chief technologist of large-scale software systems in government and automotive sectors.
Vicente holds an MS in Computer Engineering complemented with on-going PhD studies in the area of Intelligent Agents and Global Navigation Satellite Systems.

William O'Mullane has worked on space science projects since 1996 when he assisted with the production of the Hipparcos CDROMS for the European Space Agency. During this period he was also involved with the Planck and Integral science ground segments as well as contemplating the Gaia data processing problem.From 2000-2005 he worked on developing the US National Virtual Observatory (NVO) and on the Sloan Digital Sky Survey (SDSS) at the Johns Hopkins University in Baltimore, USA. In August 2005 he rejoined the European Space Agency as Gaia Science Operations Development Manager to lead the European Space Astronomy Centre development effort for Gaia and work with the Data Processing and Analysis Consortium to produce the Gaia catalogue. In 2017 he moved to Rubin Observatory (LSST) as Data Management Project Manager in Tucson, USA. He is now the Rubin Deputy Project Manager for software responsible for Data Management, telescope control and IT in general.

Yashil Sukurdeep is a Ph.D. Candidate in Applied Mathematics and Statistics at Johns Hopkins University, advised by Nicolas Charon and Tamas Budavari. His research interests lie in shape analysis, image analysis, optimization, and machine learning. More specifically, he develops mathematical models and numerical algorithms for shape registration, statistical shape analysis and image processing tasks, leading to applications in computer vision, medical imaging and astronomy.