Ivona Bezáková is an Assistant Professor in the Department of Computer
Science at the Rochester Institute of Technology. She received her Ph.D.
in computer science from the University of Chicago in 2006. Her research
interests are mostly centered around theoretical analysis of randomized
and approximation algorithms, often with emphasis on the Markov chain
Monte Carlo technique. She has also worked on graph modeling problems
that intersect the areas of machine learning and networking. Her
publications have appeared in the SIAM Journal of Computing (SICOMP),
Random Structures and Algorithms (RSA), ACM-SIAM Symposium on Discrete
Algorithms (SODA), International Conference on Machine Learning (ICML),
and others. Her teaching interests include courses with significant
algorithmic and/or theoretical content, and the introductory sequence.
Dr. Ivona Bezáková