Sahil Singla
Room 7713, Gates Building,
Carnegie Mellon University
s <my last name> at cmu dot edu

Research Interests
Broadly, I am interested in theoretical problems related to the theme `Optimization Under Uncertainty'. More particularly, I am currently working on combinatorial optimization problems and my uncertainty models are inspired from areas such as Online & Approximation Algorithms, Stopping Theory, Learning Theory, Stochastic Modeling, and Algorithmic Game Theory.

Biography
I am a PhD student in the School of Computer Science at Carnegie Mellon University. I am advised by Prof Manuel Blum and Prof Anupam Gupta. Before coming to CMU, I finished my masters under the supervision of Prof S. Keshav at the Cheriton School of Computer Science, University of Waterloo. I obtained my undergraduate degree in computer science from the Indian Institute of Technology, Delhi.

I will be starting as a Research Instructor at Princeton/IAS in Fall 2018.

Teaching
Fall 2018: IW Seminar on Algorithms under Uncertainty, Princeton.

Publications
Other Works and Presentations