Lam M. Nguyen           

I am a Research Scientist in AI Solutions for Industry 4.0 at IBM Thomas J. Watson Research Center. I was also doing as a Research Intern and working on Machine Learning/Deep Learning problems at IBM Research for more than a year.

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 was accepted by 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 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. 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.

My current research fields of interest are Optimization for Large Scale Problems, Machine Learning, Deep Learning, Reinforcement Learning. 

- Selected conference reviewers: ICML, NIPS, ICLR, AISTATS, AAAI, CVPR.
- Selected journal reviewers: Journal of Machine Learning Research, Optimization Methods and Software.