Nihar Shah

Nihar Shah

Associate Professor

CMU Scholars Page

Office 8211 Gates and Hillman Centers


Phone (412) 268-7896

Machine Learning Department
Computer Science Department

Research Interests
Artificial Intelligence
Machine Learning

Alexander Goldberg
Keerthana Gurushankar

CSD Courses Taught

15281 - Spring, 2024

Research/Teaching Statement

Nihar's research broadly lies in the areas of statistical learning, game theory, and information theory, with a focus on problems in crowdsourcing and learning from people. 

Nihar received his PhD from the EECS department at the University of California, Berkeley in 2017. His thesis received the 2017 David J. Sakrison Memorial Prize from EECS Berkeley for "truly outstanding and innovative research". He is also a recipient of the Microsoft Research PhD Fellowship 2014-16, the Berkeley Fellowship 2011-13, the IEEE Data Storage Best Paper and Best Student Paper Awards for the years 2011/2012, the SVC Aiya Medal from the Indian Institute of Science for the best master’s thesis, and an Outstanding Graduate Student Instructor award at UC Berkeley in 2016.

Nihar's favorite sport is kite fighting. He is recently also excitedly playing lots of ultimate frisbee.