Hello! My name is Saurabh Garg and I am a fourth year PhD student at Machine Learning Department at CMU where I am advised by Prof. Zachary Lipton and Prof. Siva Balakrishnan. I am broadly interested in building robust and deployable machine learning systems under distribution shift. Machine learning algorithms are typically developed and evaluated under simplistic assumptions that are often violated in practice. I am 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.
I did my undergrad from IIT Bombay, India with major and honors in CS and minors in Applied Statistics in 2018. After that, I spent one amazing year at Samsung Headquaters, Korea. In the past, I have worked with Prof. Preethi Jyothi, Prof. Soumen Chakrabarti, Prof. Suyash Awate.