Teaching
I regularly teach the following courses at the Smith School of Business:
BMGT 838E: Stochastic Optimization. Doctoral course on stochastic optimization, providing an interdisciplinary view of the field.
BMGT 834: Probabilistic Models. Core class on probability and stochastic processes for first-year Ph.D. students in Decision, Operations & Information Technologies.
BMGT 434: Introduction to Optimization. Senior elective on optimization for the undergraduate Operations Management major.
BUDT 758P: Decision Analytics. MS in Information Systems elective on optimization modeling and spreadsheet-based simulation.
BUDT 732: Decision Analytics. MBA elective on optimization modeling and spreadsheet-based simulation.
BUSO 603: Data Analysis. Online MBA course on quantitative models; covers hypothesis testing, linear regression, data visualization and interpretation.
I received the Smith School's Distinguished Teaching Award in 2017, 2018, and 2019.
In Princeton University, I participated in the development of a new course, OR&FE 418: Optimal Learning, in the Department of Operations Research and Financial Engineering. To my knowledge, this is the first course to ever teach optimal learning to an undergraduate audience. I was co-instructor of this course (with W.B. Powell) in 2010 and 2011. Our experience with this course led to the book Optimal Learning, out in 2012.
I have also served on the staff of the following courses:
OR&FE 309: Probability and Stochastic Systems, Princeton University. Teaching Assistant, Fall 2007, Fall 2008.
Excellence in Teaching Award, School of Engineering and Applied Sciences.
Teaching Award, Association of Princeton Graduate Alumni.
OR&FE 307: Linear Optimization, Princeton University. Teaching Assistant, Spring 2008.
Excellence in Teaching Award, School of Engineering and Applied Sciences.
MS&E 211: Linear and Nonlinear Optimization, Stanford University. Teaching Assistant, Autumn 2005.
COM S 100: Introduction to Computer Programming, Cornell University. Undergraduate Consultant, Fall 2002, Spring 2003, Fall 2003.