Oren Mangoubi
Assistant Professor
Mathematical Sciences
Data Science
Computer Science
Worcester Polytechnic Institute
I am an assistant professor at WPI in Mathematical Sciences and Data Science, with a collaborative appointment in Computer Science.
I design and analyze optimization and Markov Chain Monte Carlo sampling algorithms, with provable runtime, robustness, and privacy guarantees for applications in Machine Learning, Data Science, and Statistics. In doing so, I aim to introduce new mathematical tools from physics and geometry to the design and analysis of optimization and sampling algorithms used in ML. My group’s research has been supported in part by an NSF CISE/CRII award and by a Google Research Scholar Award.
In 2016 I received my PhD in Applied Mathematics at MIT, advised by Alan Edelman (MIT Mathematics department) and also working with Natesh Pillai (Harvard Statistics department). From 2017-2019 I was a postdoctoral researcher in Computer Science at EPFL, working with Nisheeth Vishnoi (Yale, previously at EPFL). From 2016-2017 I was a CANSSI postdoctoral fellow at the University of Ottawa Mathematics and Statistics department working with Aaron Smith. In 2011 I received my B.S. in Mathematics and Electrical Engineering from Yale.
Research Group
PhD Students
Peiyao Lai, Mathematical Sciences PhD student, current
Vincent Filardi, Data Science PhD student, current
Eric Vertina, Data Science PhD student, current
Masters Students
Timothy Day, graduated Fall 2021, MS in Industrial Mathematics (now a software engineer at Amazon Web Services)
Yuchen Yan, graduated Spring 2021, MS in Applied Statistics
Wei Wei, graduated Spring 2021, MS in Applied Statistics
Undergraduate Summer Research Students
Taenler Tavares, summer research intern 2021, (now a Data Managment analyst at General Dynamics)
Adina Palayoor, summer research intern 2021, currently at WPI
Janette Jerusal, summer research intern 2021, currently at WPI
Undergraduate MQP (senior project & thesis) Students
See here (28 students)
Teaching
Undergraduate and Graduate Mathematics and Data Science Courses
Modeling and Data Analysis, WPI, Spring '20, '21, '22, '23 (developed new course)
Data Analytics and Statistical Learning, Spring '23
Machine Learning for Engineering and Science Applications (DS595), WPI, Fall '22
Optimization for Deep Learning and Machine Learning (DS595/MA590) WPI, Fall '20, '21, (developed new course)
Linear Programming, WPI, (MA3231) Fall '20, '21
Statistical Methods for Data Science (DS502/MA543), WPI, Fall '19, '23
Probability & Statistics for Engineers (MAT2377), Univ. of Ottawa, Winter '17
K-12 Mathematics education
Lead interactive mathematics exhibit at the TouchTomorrow STEM Festival for K-12 Students from the Worcester region (Exhibit name: Vertices, Edges, and Faces of Polyhedra), Spring 2022
Summer research project advisor for Mass Academy high school student (Summer 2022)
Instructor, MITxplore weekly Mathematics enrichment class for disadvantaged youth, Spring+Fall 2013, Spring+Fall 2014, Spring 2015