Edward Williams
Machine Learning Scientist at Inductive Bio
Los Angeles Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolEdward Williams is a machine learning scientist with 11 years of experience building modeling and automation tools for life sciences and early-stage drug discovery. He blends statistical ML, deep learning, reinforcement learning, cheminformatics, and production software engineering to deliver systems for molecular design, ADMET prediction, and automated screening pipelines. His work spans industry and academia, from deploying cloud-scale virtual screening and HPC orchestration to advising on computer vision transcription of ancient cuneiform. An active contributor to notable astronomy libraries (Astropy and the JWST Python package), he brings rigorous data-modeling and serialization expertise often applied to scientific datasets. Based in Los Angeles, he is comfortable moving between research and product engineering, with a track record of shipping reproducible tools that bridge simulation, ML, and experimental workflows. He also pursues interdisciplinary projects at the intersection of humanities and computation, reflecting a curiosity that informs unconventional problem-solving approaches.
11 years of coding experience
10 years of employment as a software developer
Mathematics, Mathematics at Indiana University IndianapolisBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Brown UniversityAstrobiology, Astrobiology at Harvard UniversityInternational Baccalaureate and North Central Honors, International Baccalaureate and North Central Honors at North Central High School
English
Github Skills (12)
data-modeling10
astropy10
data-handling10
asdf10
event-handling10
serializer10
python10
astrophysics10
astronomy10
serialization10
numpy9
json-schema9
Programming languages (8)
Github contributions (5)
spacetelescope/jwst
Jun 2019 - Mar 2022
Python library for science observations from the James Webb Space Telescope
Role in this project:
Back-end Developer
Back-end DeveloperContributions:82 reviews, 106 commits, 102 PRs in 2 years 9 months
Contributions summary:Edward's commits primarily involve modifications to the Python code base of the James Webb Space Telescope (JWST) Python library. They've addressed bugs related to data model handling, including unsigned integer columns and table corruption, and made schema updates based on keyword dictionary dumps. Furthermore, the user refactored and updated time-related functions within the model blender and its tests.
python-librarypythonsciencewebbjwst
astropy/astropy
Feb 2020 - Mar 2022
Astronomy and astrophysics core library
Role in this project:Back-end Developer
Back-end DeveloperContributions:38 reviews, 45 commits, 29 PRs in 2 years 1 month
Contributions summary:Edward primarily contributed to the `astropy/astropy` repository by adding functionality related to unit handling and ASDF serialization. They implemented a `coerce_units` method and a `UnitsMapping` class to support units in otherwise unitless models. The user also addressed serialization issues for various model types within the ASDF format and fixed serialization of Time objects with location. Further contributions included fixing reported module names.
astrologypythonscienceastrophysicsastrodynamics
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