I am an Assistant Professor in the School of Computing at the University of Utah. I am also the Associate Director for Research at the Utah Center for Data Science. The best way to reach me is by email: bhaskaraaditya AT gmail.


My research interests include:
Theoretical computer science: I am broadly interested in algorithm design, with a focus on approximation and online algorithms.
Machine learning: designing provably efficient learning algorithms and understanding the complexity of learning problems.

I also work on topics at the intersection, e.g., using ML predictions in online algorithms. 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 2021) 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.

I would like to thank the National Science Foundation (NSF) for supporting my research by an NSF CAREER award, an AF Small grant, and an NRDZ grant. Thanks also to Google for a Faculty Research Award.