Nhan Pham
Staff Research Scientist at IBM
Town of Yorktown, New York, United States
Summary
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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
6 years of employment as a software developer
Computer Engineering, Computer Engineering at University of Nevada, RenoDoctor of Philosophy - PhD Operations Research, Doctor of Philosophy - PhD Operations Research at University of North Carolina at Chapel Hill
Github Skills (26)
depth-camera9
imu9
calibration9
optical-flow9
camera9
toolbox7
q-learning7
reinforcement-learning6
ros5
deep-learning5
machine-learning5
gymnasium5
pytorch5
publish4
tensorflow4
Programming languages (2)
Github contributions (5)
nhanph/nhanph.github.io
Oct 2019 - Jun 2024
Contributions:83 pushes, 1 branch in 4 years 9 months
unc-optimization/StochasticProximalMethods
Mar 2019 - Jun 2020
Contributions:6 commits, 29 pushes, 1 branch in 1 year 3 months
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