Saurav Prakash holds a B. Tech. in Electrical Engineering from IIT Kanpur, and a Ph.D. in Electrical and Computer Engineering from USC under the mentorship of Prof. Salman Avestimehr. His expertise encompasses distributed and privacy-preserving machine learning, with a focus on federated learning – a crucial paradigm for training machine learning models on decentralized edge devices while ensuring data privacy. During his postdoctoral tenure at UIUC's Coordinated Science Laboratory, he worked with Prof. Olgica Milenkovic, pioneering integrated solutions at the intersections of federated classification, machine unlearning, and hyperbolic spaces. Saurav joined IGB in the Genomic Security and Privacy (GSP) theme in August 2023, where he's delving into the intricate interplay of data privacy, genomics, agriculture, and machine learning, guided by Prof. Carl Gunter. Notably, Saurav earned distinction as a recipient of the 2021 Qualcomm Innovation Fellowship.