Tom Bertalan
Founder at The University of Alabama
Greater Boston United States
Summary
👤
Senior🎓
Top SchoolTom Bertalan is a founder and applied data scientist with 13 years of experience marrying machine learning, mechanistic simulation, and control for regulated bioprocessing and robotics. After a PhD at Princeton and postdocs at MIT and Johns Hopkins, he built production-grade digital twins and hybrid mechanistic/black-box models at Amgen, specializing in lyophilization, fill‑finish, and CHO metabolism. He co-designs data architectures and pipelines for high‑volume sensor ingest and has shipped containerized, versioned modeling packages and real‑time state estimation used company‑wide. His research blends neural differential equations, symbolic regression, and Bayesian soft‑sensing—work published in Nature Communications, PNAS, and Chaos—and he’s now applying those ideas to a stealth AI platform targeting regulated industries. Notably, he combines grammatical-evolution symbolic programming with differentiable simulators to make models that are both interpretable and deployable in real-time control.
13 years of coding experience
5 years of employment as a software developer
Bachelors of Science, Chemical and Biological Engineering, Bachelors of Science, Chemical and Biological Engineering at The University of AlabamaDoctor of Philosophy (PhD), Chemical and Biological Engineering, Doctor of Philosophy (PhD), Chemical and Biological Engineering at Princeton University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (200)
webextension10
neural-network10
data-science10
docx10
deep-neural-networks10
python10
meter10
outliner10
ml10
preserve10
pylint10
tensorflow10
pandoc10
machine-learning10
firefox-webextension10
Programming languages (20)
Github contributions (5)
tsbertalan/gunnar
Mar 2015 - Aug 2018
Contributions:339 commits, 138 pushes, 2 branches in 3 years 5 months
tsbertalan/gtaracer
Oct 2017 - Aug 2023
Contributions:13 pushes, 2 branches in 5 years 10 months
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