Tung Phan
Applied Machine Learning Scientist at Bloomberg
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolTung Phan is an applied machine learning scientist with 11 years of experience applying statistical and ML methods across finance, marketing, healthcare, and neuroscience. He has led high-impact projects from DARPA-funded brain–computer interface research at the University of Pennsylvania—building real-time decoders on the largest iEEG dataset ever assembled—to production ML work at Amazon and Bloomberg. Tung blends deep academic training (Ph.D. in Statistics, Wharton) and an applied math background from UC Berkeley with hands-on engineering, having developed control algorithms for neural stimulation and Bayesian marketing models. Based in the New York City area, he focuses on turning complex signals into actionable models that improve patient outcomes and business decisions, and he often works at the intersection of research and productization.
11 years of coding experience
6 years of employment as a software developer
Bachelor's Degree, Applied Mathematics, Bachelor's Degree, Applied Mathematics at University of California, BerkeleyDoctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at University of Pennsylvania - The Wharton School
Github Skills (8)
python9
machine-learning9
deep-learning8
tensorflow8
data-science7
neural-network7
ml5
deep-neural-networks5
Programming languages (1)
Github contributions (5)
tungphan87/RNN_EEG
Apr 2017 - Sep 2017
Contributions:20 commits, 20 pushes, 1 branch in 5 months
tungphan87/GAN_EEG
Oct 2018 - Dec 2018
Contributions:18 commits, 14 pushes, 2 branches in 1 month
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