Nhan Pham
VP AI ML Lead at JPMorganChase
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolNhan Pham is a Staff Research Scientist at IBM Research with nine years of experience bridging operations research and machine learning to build optimization and automated ML solutions for enterprise systems. He holds a PhD in Operations Research from UNC Chapel Hill and has led research on stochastic gradient estimators and algorithms that achieved state-of-the-art convergence for nonconvex problems, with applied experiments spanning PCA, nonconvex classification, and neural network training. At IBM he advanced optimization for ML, reinforcement learning, and federated learning, moving models from theoretical advances to production-oriented frameworks. His background in embedded systems and early work on control-variable prediction-optimization reflect a practical bent for turning algorithmic insights into deployable systems. Based in Yorktown, NY, he combines rigorous academic foundations with hands-on engineering experience to solve complex optimization challenges in real-world ML deployments.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Operations Research, Doctor of Philosophy - PhD Operations Research at The University of North Carolina at Chapel HillComputer Engineering, Computer Engineering at University of Nevada, Reno
Github Skills (19)
imu9
optical-flow8
calibration8
camera8
depth-camera8
toolbox7
ros6
algorithms6
reinforcement-learning6
pytorch5
driver4
machine-learning4
language-model4
tensorflow4
raw-image3
Programming languages (3)
Github contributions (5)
nhanph/nhanph.github.io
Oct 2019 - Jul 2026
Contributions:115 pushes, 1 branch in 6 years 10 months
unc-optimization/StochasticProximalMethods
Mar 2019 - Jun 2020
Contributions:6 commits, 29 pushes, 1 branch in 1 year 3 months
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