Aleksandar Nikolov

Assistant Professor, Department of Computer Science, University of Toronto

Canada Research Chair in Algorithms and Private Data Analysis

About me

I am broadly interested in theoretical computer science, and algorithm design, and I am a member of the Theory Group. I am also an affiliate at the Vector Institute, and the Schwartz Reisman Institute. My current research interests are in the connections between high dimensional geometry and computer science. In my work, I have applied geometric tools to the theory of private data analysis (differential privacy), discrepancy theory, and experimental design. I have also worked on computational questions in high dimensions, such as nearest neighbor search, and various geometric optimization problems. I also think about approximation algorithms, and sublinear and parallel algorithms for analyzing massive data. For more information, look in Research. If any of the above sounds intriguing, and you are a talented and motivated student interested in the theory of computing and the design of algorithms, I encourage you to apply to the University of Toronto.

Before coming to Toronto, between October 2014 and July 2015, I was a postdoc researcher in the Theory Group at Microsoft Research in Redmond. Before that, I completed my PhD in Rutgers University's Computer Science department, where I was advised by Muthu. During 2012-2014 I was supported by a Simons Graduate Fellowship.

On the more personal side: I was born in Varna, Bulgaria, right on the Black Sea coast. On my mother's side I come from a family of Banat Bulgarians. I first moved to North America to study in St. Peter's College (now University): a small Jesuit college in Jersey City. If you want to be especially friendly, and follow Slavic people's proud tradition of having arbitrary nicknames, you can call me Sasho.

Teaching

In Fall 2020 I am teaching CSC 473 Advanced Algorithms, and CSC 2412 Algorithms for Private Data Analysis.

In Fall 2015 I tought a course on discrepancy theory and applications to computer science. You can find the lecture notes here. A more recent but abbreviated set of lecture notes is here.

For more information on courses I have taught, see Courses.


Contact information