I am an Associate Professor in the School of Computing at the University of Utah. I am part of the Theory Group and the Utah Center for Data Science.

Contact: bhaskaraaditya AT gmail, or if you are at Utah, Rm 3470 MEB

(2022-23) I am on a sabbatical, visiting the Simons Center in Berkeley, and Northwestern and TTI in Chicago. I will be teaching a short course Learning Augmented Online Algorithms at Northwestern.

I am interested in theoretical computer science and machine learning. On the theory side, I am broadly interested in algorithm design, with a focus on approximation and online algorithms. On the ML side, I am interested in developing provably efficient algorithms, and in understanding the complexity of learning. I also work on topics at the intersection, e.g., leveraging ML-based predictions in classical algorithm design, and other beyond worst case models.

For more information, please see my research page.