Monica Dayao
Computational Biologist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolMonica Dayao is a computational biologist with eight years of cross-disciplinary experience applying machine learning to biomedical problems, currently developing methods to dissect autoimmune responses at the Chan Zuckerberg Biohub within the DeRisi Lab. She completed a PhD at Carnegie Mellon funded by an NIH F31, where her thesis advanced ML approaches for highly multiplexed spatial proteomics and fostered a multi-year collaboration with Enable Medicine. Prior roles span medical imaging, optimization software, and even GN&C work at Boeing, giving her a rare blend of algorithmic rigor and production-focused engineering. Based in San Francisco, she brings strong software engineering practices to biological data challenges and a track record of translating complex spatial proteomics into actionable models. An underappreciated strength is her experience bridging academic research and industry collaborations, enabling pragmatic ML solutions that move from prototype to applied studies.
8 years of coding experience
6 years of employment as a software developer
BA/MEng, Information Engineering, Bioengineering, BA/MEng, Information Engineering, Bioengineering at University of CambridgeHigh School, High School at St. John's SchoolDoctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Carnegie Mellon University
English, Spanish, German
Github Skills (3)
imaging4
microscopy4
image-processing3
Programming languages (5)
Github contributions (5)
mdayao/ramces
Mar 2021 - Aug 2021
Contributions:1 release, 18 commits, 14 pushes in 4 months
cpcb-gsa/cpcb-gsa.github.io
Nov 2021 - Sep 2024
Website for the CMU-Pitt Comp Bio Graduate Student Association.
Contributions:9 reviews, 17 PRs, 36 pushes in 2 years 10 months
associationgraduatecmucompbio
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