Alex Chu
Research Scientist at Stanford University
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolAlex Chu is a research scientist based in Palo Alto with a decade of experience applying deep learning to protein design and biophysics. Currently at Google DeepMind and concurrently a Stanford PhD candidate and NSF Graduate Research Fellow, he bridges rigorous statistical training (MS in Statistics) with hands-on experimental roots in genetics and biochemical research. His background spans academia and industry internships—from Caltech membrane protein work to plant polysaccharide biosynthesis—giving him a rare fluency in both wet-lab constraints and ML model development. Known for building applied DL methods that respect biological realities, he focuses on practical protein engineering solutions rather than purely theoretical models. He’s approachable and network-oriented, frequently engaging the community via Twitter and his personal site.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Stanford UniversityBachelor of Science (B.S.), Genetics and Biotechnology, Bachelor of Science (B.S.), Genetics and Biotechnology at Brigham Young University
English, Chinese
Github Skills (7)
generative-model10
sequence2
docking1
computational-biology1
protein-sequences1
proteins1
bioinformatics1
Programming languages (2)
Github contributions (5)
ProteinDesignLab/protein-design-tutorials
Dec 2018 - Oct 2019
Tutorials, cheat sheets, and other resources for computational methods for protein design.
Contributions:99 commits, 92 pushes in 10 months
alexechu/alexechu.github.io
Nov 2022 - Jun 2023
Contributions:19 pushes in 7 months
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