Teal Guidici
Principal Machine Learning Engineer at yetiesque productions
Greater Boston United States
Summary
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Senior🎓
Top SchoolTeal Guidici is a Principal Machine Learning Engineer with a PhD in Statistics and over a decade of applied ML and data science experience across drug discovery, sensor networks, and quantitative finance. She combines theoretical rigor from MIT and University of Michigan training with a track record of delivering high-impact, productionized systems—winning $557k in internal innovation funding and leading a $3M DARPA effort to advance maritime domain awareness. Practically minded and user-centered, Teal has designed data infrastructure and GUIs to harmonize workflows across diverse scientific teams and instruments, and built algorithms that recover signals from incomplete sensor data such as GPS dead zones. Known for empathy-driven leadership, she scales cross-functional teams while remaining a hands-on technical lead and contributor. Beyond engineering, she mentors knowledge sharing via a long-running division seminar series and mixes creative interests as an associate producer, reflecting a rare blend of technical depth and storytelling sensibility.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at University of MichiganBachelor’s Degree, Theoretical Mathematics, Bachelor’s Degree, Theoretical Mathematics at Massachusetts Institute of TechnologyGithub contributions (5)
tguidici/ODSC_2020_ESN
Apr 2020 - Apr 2021
Contributions:7 commits, 5 pushes, 1 branch in 11 months
tguidici/nn4dms
Jan 2024 - Jan 2024
Neural networks for deep mutational scanning data
Contributions:2 PRs, 1 push in 1 day
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