Alex Naka
Machine Learning Engineer - Protein Engineering at Science
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolAlex Naka is a machine learning engineer focused on protein engineering, combining a decade of data science experience with a PhD in neuroscience and hands-on experimental expertise. He brings fluency in Python and a strong foundation in statistical modeling, Bayesian approaches, and experimental design honed through postdoctoral and industry roles at Genentech, CODA Biotherapeutics, and longevity startup Loyal. At Science he applies generative and data-driven methods to biological problems, leveraging prior work building custom optogenetics hardware and analysis pipelines to bridge wet-lab experiments and computational models. Known for clear data visualization and cross-disciplinary collaboration, he also codes recreationally—his GitHub bio hints at interests spanning data, neuro, protein science, generative art, and dogs—suggesting a creative approach to technical problems.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at University of California, BerkeleyBachelor of Arts - BA, Biology; Psychology, Bachelor of Arts - BA, Biology; Psychology at Northwestern University
Github Skills (39)
sequence-analysis10
structural-biology9
bioinformatics9
tsne9
pdb-files9
computational-biology9
biology8
taxonomy8
protein-sequences7
bayesian7
webserver7
claude6
ai6
sqlite6
algorithm6
Programming languages (6)
Github contributions (5)
ANaka/CEL5500-digital-micromirror-device-toolbox-
Oct 2017 - Mar 2019
Contributions:3 commits, 2 PRs, 2 pushes in 1 year 5 months
ANaka/paperview
Dec 2022 - May 2023
Contributions:34 PRs, 72 pushes, 39 branches in 4 months
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