Lam M. Nguyen  Lam M. Nguyen photo         

contact information

Research Scientist
Thomas J. Watson Research Center, Yorktown Heights, NY USA


Professional Associations

Professional Associations:  INFORMS  |  SIAM Optimization Activity Group

more information

More information:  Personal Website


I am a Research Scientist at IBM Research AI, Thomas J. Watson Research Center working in the intersection of Optimization and Machine Learning/Deep Learning. Here is my CV.

I got my Ph.D. degree in the Department of Industrial and Systems Engineering at Lehigh University in 2018. I was working with Dr. Katya Scheinberg and Dr. Martin Takáč in the area of Large Scale Optimization for Machine Learning and Stochastic Optimization. I have proposed a new algorithm for machine learning problems called SARAH (which is named after my daughter's name Sarah H. Nguyen) for solving convex and nonconvex large scale optimization problems. This paper is published in The 34th International Conference on Machine Learning (ICML 2017). During my Ph.D., I was also working with Dr. Alexander Stolyar in the area of Applied Probability, Stochastic Models and Optimal Control. I have won the 2019 P.C. Rossin College of Engineering and Applied Science Elizabeth V. Stout Dissertation Award.

I was born in Hanoi, Vietnam, but grew up in Moscow, Russia. I got my Bachelor degree in Applied Mathematics and Computer Science from Faculty (Department) of Computational Mathematics and Cybernetics, Lomonosov Moscow State University in 2008 under the supervision of Prof. Vladimir I. Dmitriev. I also received my M.B.A. degree from McNeese State University, Louisiana in 2013. Moreover, I was a Software Engineer at FPT Software Company.

Fields of interest:

  • Optimization for Representation Learning
  • Design and Analysis of Learning Algorithms
  • Deep Reinforcement Learning
  • AI Solutions for Industry Research

Academic Services:

  • Selected conference area chairs: ICML 2020, ICLR 2021, AISTATS 2021.
  • Selected conference reviewers: ICML, NIPS/NeurIPS, ICLR, AISTATS, AAAI, IJCAI, CVPR, ICCV, ECCV, UAI.
  • Selected journal reviewers: Journal of Machine Learning Research, Mathematical Programming, SIAM Journal on Optimization, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Signal Processing, Artificial Intelligence, Optimization Methods and Software, SIAM Journal on Mathematics of Data Science.