I am a Research Scientist in Enabling IoT and AI Technologies 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.