Zak Costello
Senior Machine Learning Scientist at Generate Biomedicines, Inc.
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolZak Costello is a Senior Machine Learning Scientist with a decade of experience applying ML, control theory, and automation to make biological engineering predictable and scalable. He blends rigorous academic research—published in venues like Nature Communications and IEEE TAC—with hands-on lab automation, from robotic fermentation workflows to CRISPR integrations, ensuring methods are validated end-to-end. At Generate Biomedicines he has progressed through technical roles driving ML solutions for molecular and strain engineering, building on a PhD in electrical engineering and multidisciplinary work in distributed control. Notably, he developed a deep learning model that achieved state-of-the-art protein solubility prediction on an 80k dataset and created ML-driven tools that directly enabled lab scientists to improve strain design. His work sits at the rare interface of theory, software, and wet-lab practice, focused on making any organism engineerable rapidly and affordably.
10 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree, Electrical Engineering, Bachelor’s Degree, Electrical Engineering at Georgia Institute of Technology
English
Github Skills (6)
machine-learning6
depot5
time-series4
benchmarking3
python3
data-integrity3
Programming languages (1)
Github contributions (5)
JBEI/PIACE
May 2018 - Jun 2018
Contributions:7 commits, 1 push in 7 days
zakcostello/zakcostello.github.io
Nov 2018 - Nov 2018
Personal academic website of Connor W. Coley
Contributions:4 pushes in 1 day
reactconnor
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