Michael Wiest

Principal ML Engineer at Genentech

San Diego, California, United States
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Summary

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Senior
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Top School
Michael Wiest is a Principal ML Engineer in San Diego with 8 years of experience applying deep learning and data engineering to biological problems, from single-cell phenotypic discovery to microbiome-driven agricultural insights. He has built production AI-enabled drug discovery platforms, scalable annotation tooling that enables code-free model creation for biologists, and novel time-series and hierarchical clustering methods to extract signals from terabytes of experimental data. Michael’s background spans startups and industry leaders (Spring Science, Trace Genomics, Genentech), where he has transitioned bespoke storage and analysis systems into robust Postgres-backed, web-accessible pipelines. He combines a biological engineering master’s from UC San Diego and a Princeton engineering foundation with hands-on GPU-driven model building, and he’s known for shipping practical tooling that turns complex lab workflows into consumable software. Notably, his work bridges wet lab needs and ML infrastructure—empowering scientists to explore phenotypes at scale without writing code.
code8 years of coding experience
job8 years of employment as a software developer
bookUniversity of California, San Diego
bookBachelor's Degree Chemical and Biological Engineering, Bachelor's Degree Chemical and Biological Engineering at Princeton University
languagesEnglish, Japanese
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Github Skills (21)

variable-length7
computational-biology7
bioinformatics6
representations5
recurrent4
word2vec4
python4
nlp4
word-embeddings3
machine-learning3
simulation2
pytorch2
neural-network2
interaction2
vector2

Programming languages (2)

GDScriptPython

Github contributions (5)

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michaelwiest/H1rnN1

Mar 2018 - Nov 2018

Recurrent neural network for predicting protein mutations in Influenza
Contributions:40 PRs, 273 pushes, 20 branches in 8 months
recurrent-neural-networkmutationsneural-networkinfluenzaprotein
michaelwiest/godot-noah-game

Mar 2023 - Jun 2023

A top-down deliberately janky action RPG.
Contributions:8 reviews, 6 PRs, 34 pushes in 2 months
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Michael Wiest - Principal ML Engineer at Genentech