PhD candidate in Operations Research at MIT
Contact: bsturt (at) mit (dot) edu
CV, Google scholar
I am a third-year PhD candidate in the Operations Research Center at MIT, where I am advised by Dimitris Bertsimas. My research interests lie at the intersection of data-driven optimization, nonparametric statistics, algorithms and complexity, and their applications in operations management and analytics.
I did my undergraduate studies in Computer Engineering and the Hoeft Technology and Management Program at the University of Illinois in Urbana, Champaign, where I was a Chancellor's Scholar. Prior to starting my Ph.D, I worked with Jiawei Han and Marta Gonzalez in data mining, with applications in recommendation systems and transportation.
I love teaching, and have been involved with courses on data analytics and optimization for MBA, PhD, MBAn, and undergraduate students. I have taught tutorials on Unix, software development, and analytics to different organizations at MIT.
Computation of exact bootstrap confidence intervals: complexity and deterministic algorithms (with D. Bertsimas), Under Review (2017). (Preprint, Optimization-Online).
- Second Place in the INFORMS George Nicholson Student Paper Competition, 2017.
- Data-driven two-stage adaptive optimization (with D. Bertsimas and S. Shtern), in preparation, (2017).
- The path most traveled: Travel demand estimation using big data resources (with J.L. Toole, S. Colak, L.P. Alexander, A. Evsukoff, and M.C. González), Transportation Research Part C: Emerging Technologies (2015) (Final article)
- Personalized Entity Recommendation in Heterogeneous Information Networks with Implicit User Feedback (with X. Yu, X. Ren, Y. Sun, Q. Gu, U. Khandelwal, B. Norick, and J. Han), Proceedings of the 7th ACM international conference on Web Search and Data Mining (WSDM) (2014) (Final article).
- Recommendation in heterogeneous information networks with implicit user feedback (with X. Yu, X. Ren, Y. Sun, U. Khandelwal, Q. Gu, B. Norick, and J. Han), Proceedings of the 7th ACM conference on Recommender systems (2013) (Final article).
- 15.093: Optimization Methods (MBAn Core, PhD Elective), Fall 2017.
- Teaching assistant for Shimrit Shtern.
- 15.060: Data, Models, and Decisions (MBA Core), Fall 2016.
- Teaching assistant for Georgia Perakis and David Gamarnik.
- Received the 2016-2017 MIT Sloan Outstanding Teaching Assistant Award.
- 15.S60: Computation for Optimization and Statistics (PhD, MBA Elective)
- Co-organizer and Instructor, January 2018, 2017.
- Instructor, January 2016.
- CS 374: Algorithms and Models of Computation (Pilot offering, UIUC), Spring 2014.
- Teaching assistant for Jeff Erickson and Leonard Pitt.
- Facebook: Data Scientist (intern): Menlo Park, CA, Summer 2015.
- Google: Software Engineer (intern): Mountain View, CA, Summer 2013.
- Garmin: Software Engineer (intern): Olathe, KS, Summer 2012.