I am an Assistant Professor in the School of Computing at the University of Utah. I am also a member of the data group here at the university. The best way to reach me is by email: bhaskaraaditya AT gmail.

My research interests include:
  -- Theoretical computer science: design and analysis of algorithms, approximation algorithms for optimization problems, spectral methods.
  -- Machine learning: complexity of learning, design of provably efficient learning algorithms, robustness in machine learning.
For more information, please see my research page.

For students. If you have a strong mathematical background and are interested in working with me, please send me email. Please include your CV and information about your (relevant) past projects.

Data track. I am the director of the data track for MS/PhD students at the School of Computing. If you have questions about the track, please read **these FAQs** or the handbook before sending email.

(Spring 2020) I am teaching Probability and Statistics (CS 3130/ECE 3530). Here is the course homepage.

Education and Background:
  -- Post doctoral researcher, Google NYC (2013-2015)
  -- Post doctoral researcher, EPFL (2012-2013)
  -- Ph.D. in Computer Science, Princeton University (2012) [thesis]
  -- B. Tech in Computer Science and Engineering, IIT Bombay, India.

Selected program committees: ESA 2019, SODA 2019, WWW 2018, KDD 2017, FOCS 2017.