Saurabh Garg

Carnegie Mellon University, Machine Learning Department, Advisors : Zachary Lipton and Sivaraman Balakrishnan

Saurabh Garg is a third-year Ph.D. student in the Machine Learning Department at Carnegie Mellon University, advised by Zachary Lipton and Sivaraman Balakrishnan.

Saurabh is interested in building robust and deployable machine learning systems. The primary focus of his research is to improve and evaluate deep learning models in the face of distribution shifts. Machine learning algorithms are typically developed and evaluated under simplistic assumptions that are often violated in practice. Saurabh is interested in understanding the behavior of machine learning models in real-world scenarios and building provable methods to make progress towards relaxing simplifying assumptions in order to make robust and trustworthy models. 

Before Saurabh started his Ph.D., he received his bachelor’s degree from the Indian Institute of Technology (IIT) Bombay, majoring in Computer Science and Engineering.