Newton Kwan
Machine Learning Engineer at GSK
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolNewton Kwan is a machine learning engineer with nine years of experience building data platforms and ML-driven solutions, currently accelerating early-stage drug discovery at GSK via scalable Google Cloud data services. He holds an MSc in Machine Learning (distinction) from UCL, where he led open-source research (PAX) and published work on scaling opponent shaping in multiagent reinforcement learning. Previously he developed synthetic-data pipelines for demand forecasting at Zume and research tools for scientists at Insight Data Science, blending production engineering with research rigor. A physics-trained problem solver from Duke with a unique background in classical bassoon performance, he brings interdisciplinary curiosity to technical challenges and a track record of turning complex scientific problems into deployable ML systems.
9 years of coding experience
4 years of employment as a software developer
B.S. in Physics, B.S. in Physics at Duke UniversityBassoon Performance, Bassoon Performance at San Francisco Conservatory of MusicUniversity College London
Spanish, Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
evolution6
deep-learning3
pipe2
child-process2
jax1
stdio1
Programming languages (4)
Github contributions (5)
newtonkwan/archived-projects
Sep 2018 - Feb 2019
Contributions:31 commits, 22 pushes, 1 branch in 4 months
newtonkwan/newtonkwan.github.io
Mar 2024 - Jan 2025
Contributions:2 PRs, 40 pushes, 2 branches in 11 months
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