Lam M. Nguyen
Staff Research Scientist
Who they work with
Lam M. Nguyen is a staff fesearch scientist at IBM Research, Thomas J. Watson Research Center working in the intersection of optimization and machine learning/deep learning. He is also the PI on MIT-IBM Watson AI Lab projects. Nguyen received his BS degree in applied mathematics and computer science from Lomonosov Moscow State University in 2008, an MBA from McNeese State University in 2013, and PhD in industrial and systems engineering from Lehigh University in 2018.
Nguyen has extensive research experience in optimization for machine learning problems. He has published his work mainly in top AI/ML and Optimization publication venues, including ICML, NeurIPS, ICLR, AAAI, AISTATS, Journal of Machine Learning Research, and Mathematical Programming. He has been serving as an Action/Associate Editor for Journal of Machine Learning Research, Machine Learning, Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, and Journal of Optimization Theory and Applications; an Area Chair for ICML, NeurIPS, ICLR, AAAI, CVPR, UAI, and AISTATS conferences. His current research interests include design and analysis of learning algorithms, optimization for representation learning, dynamical systems for machine learning, federated learning, reinforcement learning, time series, and trustworthy/explainable AI.