Carnegie Mellon University

Photo of Nihar Shah

July 27, 2017

Nihar Shah Joins the Machine Learning Department

We are very excited to welcome Nihar Shah as an Assistant Professor to the Machine Learning Department in Fall 2017.

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 recently completed his PhD from the Electrical Engineering and Computer Sciences (EECS) department at the University of California, Berkeley. 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. Recently, he enjoys playing a lot of ultimate frisbee.