I am a first year 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 received my master's in Computer Science from the Cheriton School of Computer Science at the University of Waterloo (August 2013). During my master's studies, I was advised by Shai Ben-David. My master's thesis focuses on issues regarding clustering in the presence of noise and is available here.
I received a B.Math in Computer Science from the University of Waterloo in June 2011.
I am interested in the intersection of Machine Learning and Game Theory.
In the past, I have worked on issues regarding clustering, specifically, examining and developing clustering paradigms that are designed to perform well in the presence of outliers, noise, and background data. My master's thesis, which include most of this work, can be found here.
You can look at my CV here.
CS 15-892 Foundations of Electronic Marketplaces.
CS860, Parameterized and Exact Algorithms.
CS870, Numerical Algorithms and Image Processing.
CS886, Multiagent Systems.
STAT841, Statistical Learning - Classification.
Teaching Assistant for CS485/685, Machine Learning: Statistical & Computational Foundation.
Instructor for MCS4114, Machine Learning at the Baha'i Institute for Higher Education.
Instructional Assistant for CS240, Data Structures and Data Management.
Instructional Assistant for CS234, Data Types and Structures.
Email: nika AT cmu DOT edu
Office: GHC 7119, Carnegie Mellon University
This is my LinkedIn profile