Antar Bandyopadhyay

Antar Bandyopadhyay is a Professor at the Indian Statistical Institute (ISI), serving as Head of the Delhi Centre since 2023. He was previously the Professor-in-Charge of the Theoretical Statistics and Mathematics Division (2020–2022). He spent the academic year 2013–2014 as a Visiting Associate Professor at the Department of Statistics, University of California, Berkeley.

• Education: PhD in Statistics (UC Berkeley, 2003), MA in Statistics (UC Berkeley, 2000), M.Stat. (ISI Kolkata, 1998), B.Stat. (ISI Kolkata, 1996).

Research Interests: Theoretical and applied probability, focusing on discrete problems arising from combinatorics, statistical physics, and computer science. Key areas include random graphs, probability on trees, recursive distributional equations, branching random walks, percolation theory, interacting particle systems, Markov chains mixing, random walks in random environments, and urn models. He also explores theoretical statistics and probability questions emerging from it.

Publication Trends: His recent work (2006–2025) spans infinite-color urn models, branching random walks, percolation, random graphs, and random walks in dynamic environments. Collaborations include researchers at UC Berkeley, Chalmers University, ISI Kolkata, and the University of Minnesota.

Scientific Awards:

• Outstanding Graduate Student Instructor Award (UC Berkeley, 2002)
• Teaching Effectiveness Award (UC Berkeley, 2002)

Advising and Grants: He has mentored Gursharn Kaur, Debleena Thacker, and others. His work has been supported by institutions such as UC Berkeley, Chalmers University, and the Institute for Mathematics and Its Applications.

Labs and Teams: He actively collaborates with the Theoretical Statistics and Mathematics Unit at ISI Delhi and has organized the weekly seminar series (2006–2010), co-organizing workshops like the Lectures on Probability and Stochastic Processes (2006–2014).