Anant Raj

Starting Oct. 2024, I am an Assistant Professor in the Department of Computer Science and Automation (CSA) at Indian Institute of Science (IISc). I was a Marie-Curie Fellow, jointly hosted by Prof. Francis Bach at SIERRA Project Team (Inria) and Prof. Maxim Raginsky at Coordinated Science Laboratory (CSL), UIUC till Sept. 2024. Before that, I completed my PhD in Machine Learning at Max-Planck Institute for Intelligent Systems in the Empirical Inference Department under the supervision of Prof. Bernhard Schoelkopf. I received my B.Tech-M.Tech dual degree in Electrical Engineering from IIT Kanpur where my research was advised by Prof. Rajesh M Hegde, Prof. Vinay Namboodiri, Prof. Amitabha Mukerjee and Prof. Tinne Tuytelaars (External Master's Thesis Advisor). My research interest is in understanding problems in general machine learning theory and applications. More specifically, I am interested in optimization theory, kernel methods and theoretical foundation of machine learning. I have also a vivid interest in understanding the resource efficient learning such as active learning, coresets and distributed inference. On the application side, I am interested in application of machine learning methods in healthcare domain.

If you are passionate about optimization theory and machine learning theory and are interested in joining my research group, please take a moment to read this information before reaching out !!