Alex Beatson
Co-Founder at Axiom Bio
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAlex Beatson is a machine learning entrepreneur and researcher with nine years of experience applying generative models, active learning, and physics-informed ML to molecular design and safety. As Co-Founder of Axiom Bio he’s focused on using AI to surface drug toxicity earlier and more cheaply, building on prior leadership at Redesign Science and R&D roles at Genesis Therapeutics where he engineered platforms for molecule generation, inference at scale, and ML-accelerated simulation. His background includes Google Brain internships working on large-scale generative model training and a PhD in Computer Science from Princeton, giving him a strong mix of academic rigor and production ML systems experience. Based in San Francisco, he blends deep technical know-how in GNNs, language models for chemistry, and scalable inference pipelines with a knack for translating complex scientific problems into pragmatic engineering products. An under-the-radar strength is his cross-disciplinary foundation in mechatronics engineering, which informs practical engineering-first solutions to computational chemistry challenges.
9 years of coding experience
2 years of employment as a software developer
BE(Hons) Mechatronics Engineering, BE(Hons) Mechatronics Engineering at University of CanterburyDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Princeton University
Chinese, German, English
Github Skills (52)
python8
deep-learning8
cheminformatics8
gpu8
machine-learning8
r7
rdkit7
cuda6
neural-network6
regression6
tensorflow6
kaggle6
data-mining6
classification6
computation6
Programming languages (3)
Github contributions (5)
PrincetonLIPS/learning_composable_energy_surrogates
Sep 2019 - Oct 2020
Contributions:306 commits, 2 pushes, 2 branches in 1 year 1 month
alexub/alexub.github.io
Jan 2022 - Apr 2024
Contributions:58 pushes, 1 branch in 2 years 3 months
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