Jeya Balasubramanian
Research Fellow at National Cancer Institute (NCI)
Rockville, Maryland, United States
Summary
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Senior🎓
Top SchoolJeya Balasubramanian is a research-focused machine learning and data scientist with 11 years of experience applying AI to biomedical and clinical problems, currently a Research Fellow at the National Cancer Institute. With a Ph.D. in Artificial Intelligence from the University of Pittsburgh and prior roles spanning postdoc work, EHR analytics, and biomarker discovery, she blends deep probabilistic modeling (Bayesian rule learning) with practical NLP and time-series deep learning for clinical prediction. Her work has driven publications, a patent, and real-world tools—from a Java-based Bayesian rule learning system to deep learning pipelines for physician notes—and has informed diagnostic and risk-prediction systems across cancer and cardiovascular domains. Notably, she has a track record of improving algorithmic accuracy in noisy biological data and translating research prototypes into applied clinical analyses.
11 years of coding experience
8 years of employment as a software developer
Global Study Program, Computer Science, Biology, Global Study Program, Computer Science, Biology at University of California, DavisBachelor of Technology (B.Tech.), Bioinformatics, Bachelor of Technology (B.Tech.), Bioinformatics at SRM UniversityDoctor of Philosophy (Ph.D.), Artificial Intelligence, Doctor of Philosophy (Ph.D.), Artificial Intelligence at University of PittsburghMS, Computational Biology, MS, Computational Biology at Carnegie Mellon University
Tamil, Hindi, English
Github Skills (25)
python9
imputation9
machine-learning9
browser9
pyodide9
webassembly9
deep-learning8
tensorflow8
missing-data8
data-science7
neural-network7
deep-neural-networks5
ml5
r-package5
julia4
Programming languages (5)
Github contributions (5)
jeyabbalas/py-icare
Sep 2022 - Jul 2024
Contributions:105 pushes, 1 branch in 1 year 10 months
jeyabbalas/tabnet
Oct 2021 - Feb 2022
Contributions:27 commits, 1 push in 4 months
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