“For wisdom, nothing to do,
Other than know directly how things are.”


I am an assistant professor in the School of Operations Research and Information Engineering (ORIE) at Cornell, as well as a field member in Departments of Computer Science, ECE, and the Center for Applied Mathematics. I am also a technical consultant at Lyft.

I received my PhD in 2013 from the ECE Department at UT Austin, advised by Sanjay Shakkottai and Sujay Sanghavi. From 2013-2015 I was a postdoctoral researcher in the Social Algorithms Lab at Stanford, where I was hosted by Ramesh Johari and Ashish Goel.

Research

My research focusses on applied probability, and the design of algorithms and incentives for large-scale systems. I am interested in settings where a large number of agents interact, either via an explicit network (e.g., in communications/social networks), or via implicit networks arising due to an algorithm (e.g., in recommender systems) or an incentive mechanism (e.g., in matching markets and social-computing platforms). I am most excited by problems where theory provides sharp qualitative insights for the design of real platforms, and where resulting algorithms and mechanisms can be implemented in practice. For more details about my work, see my publications page.

A large part of my recent research has focussed on the design of ridesharing platforms, building off from my work with Lyft since 2014. The following tutorial, given as part of the Simons Institute Real-Time Decision Making Boot Camp, provides a introduction to this work (more details are available in an upcoming chapter).

Contact Information

Address :
229 Rhodes Hall
Ithaca, NY 14850

Email:
sbanerjee@cornell.edu

Twitter:
@banerjee_sid