Nika Haghtalab

Computer Science Department
Carnegie Mellon University


I am a Ph.D. student in the Computer Science Department at Carnegie Mellon University. I am interested in problems that lie in the intersection of Machine Learning and Game Theory. I am fortunate to be co-advised by Avrim Blum and Ariel Procaccia.

I have had the pleasure of interning at Microsoft Research, New York City (June-Sept. 2016) and Redmond (May-Aug. 2015), working with Miroslav Dudík, Robert E. Schapire, Vasilis Syrgkanis, Jennifer Wortman Vaughan, and with Ofer Dekel, respectively.

I co-organize the Learning Theory reading group.

You can look at my CV here.


Feb 2016: I won the Microsoft PhD. Fellowship.

Mar 2015: I won the IBM PhD Fellowship.

Working Papers:


Graduate Courses

Spring 2014

CS 15-859(B) Machine Learning Theory.

CS 15-750 Graduate Algorithms.

Fall 2013

CS 15-892 Foundations of Electronic Marketplaces.

Winter 2012

CS860, Parameterized and Exact Algorithms.

CS870, Numerical Algorithms and Image Processing.

Fall 2011

CS886, Multiagent Systems.

STAT841, Statistical Learning - Classification.


Fall 2014

Teaching Assistant for CS15-381, Introduction Artificial Intelligence.

Winter 2013

Teaching Assistant for CS485/685, Machine Learning: Statistical & Computational Foundation.

Fall 2012

Instructor for MCS4114, Machine Learning at the Baha'i Institute for Higher Education.

Winter 2012 and Fall 2012

Instructional Assistant for CS240, Data Structures and Data Management.

Fall 2011 and Spring 2012

Instructional Assistant for CS234, Data Types and Structures.

Email: nika AT cmu DOT edu
Office: GHC 7001, Carnegie Mellon University

This is my LinkedIn profile