Drishti is a Software Engineer and a technology book author. She is currently based in the USA and believes in democratizing opportunities and brings knowledge of the latest developments in the fast-moving field of technology to early professionals, students, and keep them up to date and well-equipped for their professional careers. Her initiative "SkillUp with Drishti" enables students and professionals to grow in their career.
She has spoken at conferences across the globe and is also a social entrepreneur. Her non-profit organisation-Samyak Drishti Foundation works in environment, education and healthcare sectors and operates in a number of cities across India.
In her spare time, she likes to paint nature, explore new places and anchor live shows

Parul is a Senior Production Engineer at Meta, where she works within the Python Foundation team. Previously, she worked with Interactive Computing and contributed to accelerating the machine learning (ML) authoring space. She is a CPython Triager and also an early contributor to FairLearn, an open-source Python library to help improve fairness in AI systems.

Parul is also an advocate for bridging the gender gap in technology and has mentored several aspiring technologists to build a career in the field of computer science. In her free time, Parul enjoys dancing, painting, and traveling.

Lilinoe Harbottle is a data scientist at a startup focused on machine learning and natural language processing models. Previously, she contributed at Johnson & Johnson, emphasizing data-driven strategies and automation. A strong advocate for diversity in STEM, she is active in the American Indian Science and Engineering Society (AISES) and the Society for the Advancement of Chicanos/Hispanics and Native Americans in Science (SACNAS). Known for her engaging presentations, she shares insights into the transformative impact of data science and AI in technology and healthcare, inspiring others to explore these exciting fields.

Hi there! Currently I'm working with Kyle Ellrott's team the "Data Science Garage" at OHSU Knight Cancer Institute harmonizing large scale consortium level Bioinformatics + Biomedicine data into a community standard graph. Over the years I've been applying a multi-disciplinary and systems-level view across a spectrum of data + tools to advance domain knowledge.

In problem-solving, I frequently leverage machine learning to learn representations of data and then utilize them in downstream tasks such as data integration, general modeling, and similarity comparisons.