Supratim specializes in scaling machine learning and deep learning models using data/model summarization (aka coresets). He earned his PhD from IIT Gandhinagar and previously served as a postdoctoral researcher at the Department of Computer Science, Technion, and the Robotics & Big Data Labs at Haifa University in Israel. His research interests lie in randomized algorithms and the theory and practice of ML/DL models, with a keen focus on solving real-world problems. His current projects are supported by the ANRF under the Ramanujan Fellowship and PMECRG. Outside of his academic pursuits, he enjoys music and traveling.