Oren Mangoubi

Dr. Oren Mangoubi is an Associate Professor at Worcester Polytechnic Institute (WPI) in the Department of Mathematical Sciences, with affiliations in Data Science and Artificial Intelligence. His research focuses on designing and analyzing algorithms for optimization, Markov Chain Monte Carlo sampling, and generative modeling, emphasizing provable runtime, accuracy, and privacy guarantees for applications in Machine Learning (ML), Artificial Intelligence (AI), and Data Science.

• BS in Mathematics and Engineering Sciences-Electrical, Yale University (2011)
• PhD in Applied Mathematics, Massachusetts Institute of Technology (MIT) (2016)

His work integrates mathematical tools from physics and geometry into ML/AI algorithm design, with recent projects involving minimax optimization for GANs and algorithmic robustness. Key funding includes an NSF CISE/CRII award and a Google Research Scholar Award.

• NSF CISE/CRII award
• Google Research Scholar Award

Dr. Mangoubi’s research group has advised numerous PhD, MS, and undergraduate students, including Peiyao Lai (PhD 2024), Vincent Filardi, and Eric Vertina. He has also mentored summer research interns and taught courses like Machine Learning for Engineering and Science Applications and Optimization for Deep Learning.