Bio: Praneeth Vepakomma is currently a Visiting Assistant Professor at MIT in IDSS and is an Assistant Professor at MBZUAI. He previously obtained his PhD at MIT in and works on trustworthy/responsible computation that includes a sub-focus on distributed (resource-efficient) and private computation in statistics, ML and data science at large. He has extensive industrial experience across Meta, Apple, Amazon, Motorola Solutions, Corning and several startups. His research focuses on developing algorithms for distributed computation in statistics & machine learning under constraints of privacy, & efficiency. He won the Meta PhD research fellowship in Applied Statistics, two SERC Scholarships (for Social and Ethical Responsibilities of Computing) from MIT’s Schwarzman college of computing. He co-founded a research based non-profit (Integrity Distributed) that won the Financial Times Digital Innovation Award. He won a Best Student Paper Award at FL-IJCAI, a Baidu Best Paper Award at NeurIPS-SpicyFL and a Best Paper Runner Up Award at FG-2021. His technical work is inspired by foundations of non-asymptotic statistics, randomized algorithms, learning augmented algorithms, combinatorics, and at times just by systems design. He was Interviewed in the book, ‘Data Scientist: The Definitive Guide to Becoming a Data Scientist’ and has organized several workshops at ICLR, ICML, IJCAI, CVPR and NeurIPS.