Jackson Killian
Associate Principal Machine Learning Scientist
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJackson Killian is an Associate Principal Machine Learning Scientist with a decade of experience building genome-scale ML platforms for early cancer detection and liquid biopsy. He combines a Harvard PhD in computer science and sequential decision-making with hands-on expertise designing NGS-based deep learning architectures that moved from exploratory models to clinically locked classifiers. At Harbinger Health he leads end-to-end platform development—optimizing reproducibility, confounder quantification, and assay-informed modeling—while tightly collaborating with lab teams to shape experiments. His prior work spans deploying AI decision-support in public health across multiple countries and internships at Verily, Google, and the Broad, reflecting a rare blend of translational impact and top-tier research. He’s especially drawn to 0→1 platform discovery where modeling and experimental design iterate together to reveal novel biological signal.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Southern CaliforniaDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Harvard UniversityBachelor of Science (BS), Physics, Computer & Information Science, Bachelor of Science (BS), Physics, Computer & Information Science at The Ohio State University
English, Spanish
Github Skills (32)
web-application10
laravel10
php10
foundation9
application-framework9
expressive9
decoder8
encoder7
python-bindings6
dice6
distributions5
python5
irc-bot5
json5
roller4
Programming languages (6)
Github contributions (5)
hackohio/hackOHIO2017
Sep 2017 - Jan 2018
Contributions:57 PRs, 110 pushes, 6 branches in 4 months
hackathon-websitejavascript
killian-34/killian-34.github.io
Nov 2017 - Jan 2025
Contributions:75 pushes, 7 branches in 7 years 3 months
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