Oren Mangoubi

Oren Mangoubi is an Associate Professor at Worcester Polytechnic Institute (WPI) holding primary appointment in Mathematical Sciences with cross-appointments in Data Science, Artificial Intelligence, and a courtesy position in Computer Science. His research develops theoretically grounded algorithms for optimization, Markov Chain Monte Carlo sampling, and generative modeling with provable guarantees in runtime, accuracy, and privacy for machine learning and AI applications.

His academic journey includes:

• PhD in Applied Mathematics, MIT (2016), advised by Alan Edelman (MIT) and Natesh Pillai (Harvard)
• Postdoctoral Researcher, EPFL Computer Science Department (2017-2019) under Nisheeth Vishnoi
• CANSSI Postdoctoral Fellow, University of Ottawa Mathematics and Statistics (2016-2017) with Aaron Smith
• B.S. in Mathematics and Electrical Engineering, Yale University (2011)

Professor Mangoubi's work pioneers the integration of geometric and physical principles into algorithm design, creating mathematically rigorous foundations for AI systems. His research addresses critical challenges in computational efficiency and privacy preservation, with direct applications in statistical inference and machine learning scalability. The group maintains strong interdisciplinary connections between theoretical computer science, statistics, and applied mathematics.

His research impact is recognized through:

• NSF CISE/CRII Award for foundational algorithm research
• Google Research Scholar Award supporting generative modeling work

Professor Mangoubi maintains an active mentoring portfolio with current PhD student Vincent Filardi and 37 documented advisees across PhD, Master's, and undergraduate levels (including 28 MQP students). His graduates hold positions at Amazon, Liberty Mutual, MITRE, Epic Systems, and pursue advanced degrees at Columbia and Northeastern. Research is funded through competitive NSF and Google grants enabling theoretical exploration with practical implementations. The group operates within WPI's collaborative mathematics and data science ecosystem, emphasizing mathematical rigor in AI development through weekly research seminars and cross-departmental projects.

He leads K-12 outreach through the TouchTomorrow STEM Festival and MITxplore enrichment programs, demonstrating commitment to broadening participation in mathematical sciences.