Anna Kwa
Research Engineer at Allen Institute for AI (AI2)
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolAnna Kwa is a research engineer in Seattle with a decade of experience applying machine learning and numerical modeling to real-world problems across industry and academia. She has translated deep physics training—culminating in a PhD and NSF fellowship—into applied roles at Zillow, Vulcan, and the Allen Institute for AI, where she builds models and data pipelines that tell actionable stories. Her background ranges from MCMC-driven astrophysics research and gamma-ray analyses to image-based recommendation systems and production ML at scale. Comfortable moving between exploratory research and productionization, she also has teaching and curriculum experience that sharpen her ability to communicate complex technical ideas. Quietly pragmatic, she often leverages physics-informed methods when standard ML approaches fall short.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Physics and Astronomy, Bachelor's degree, Physics and Astronomy at The Ohio State UniversityDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of California, Irvine
Github Skills (26)
parameterization10
machine-learning-models7
keras6
pytorch4
data-science4
mass4
machine-learning4
deep-learning4
tensorflow4
ai4
collaboration4
reinforcement-learning4
hyperparameter-tuning3
modeling3
fortran3
Programming languages (3)
Github contributions (5)
AnnaKwa/little-things
Jul 2019 - Mar 2022
mass modeling using 2d velocity fields
Contributions:2 PRs, 98 pushes, 3 branches in 2 years 8 months
pythonfieldsmodelingvelocitymass
AnnaKwa/fit2d
Aug 2020 - Jul 2022
Contributions:44 pushes, 2 branches in 1 year 11 months
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