Debashis Mondal

Debashis Mondal is an Associate Professor of Statistics & Data Science at Washington University in St. Louis, part of the Arts & Sciences School. He holds a PhD from the University of Washington (2007) and BSTAT/MSTAT from the Indian Statistical Institute. His research focuses on spatial statistics, computational science, machine learning applications in ecology and environmental sciences, and methodological advancements in statistical modeling.

Education:

• PhD in Statistics, University of Washington, Seattle (2007)
• MSTAT in Statistics, Indian Statistical Institute
• BSTAT in Statistics, Indian Statistical Institute (2000)

Research Interests:

• Spatial statistics and environmental applications
• Machine learning and computational methods
• Data-driven approaches in ecology and microbiology
• Methodological development for high-dimensional and spatial-temporal data

Professional Recognition: Recipient of NSF Career Award (2013), Elected ISI Member (2016), and numerous service awards. His work bridges statistical theory and environmental science, with publications in top journals like Annals of Applied Statistics and Biometrika.

Advising and Grants: Mentor to multiple PhD students (e.g., Si Liu, Paul Logan) and has supervised research leading to postdocs and industry roles. His grants include NSF funding for methodological research in spatial statistics.

Professional Activities: Organized major conferences (e.g., Midwest Statistics Colloquium, International Indian Statistical Association Conference) and serves on editorial boards and award committees for leading statistical societies.