Noirrit Kiran Chandra

Noirrit Kiran Chandra is an Assistant Professor of Statistics at the Department of Mathematical Sciences within the School of Natural Sciences and Mathematics at The University of Texas at Dallas. His research focuses on developing novel statistical methods for high-dimensional data analysis, Bayesian computation, and applications in genomics and neuroscience. He holds a Ph.D. in Statistics from the Indian Statistical Institute, Kolkata (2019), and postdoctoral experience at Duke University (2019–2020) and The University of Texas at Austin (2020–2022).

Education:

• Ph.D. in Statistics, Indian Statistical Institute, Kolkata (2019)
• M.Stat., Indian Statistical Institute, Kolkata (2013)
• B.Sc. in Statistics, Calcutta University (2011)

Research Interests:

• Graphical models and covariance structure inference
• Clinical trial design and real-world data integration
• Bayesian asymptotics and scalable computation
• High-dimensional clustering and multiple hypothesis testing
• Applications in genomics, neuroscience, and public health

Grants:

• Seed Program for Interdisciplinary Research (SPIRe) Grant ($60,000), UTD (2024)
• New Faculty Research Symposium (NFRS) Grant ($25,000), UTD (2023)

Awards:

• ISBA Biostats and Pharma Junior Researcher Award (2023)
• Travel awards from ISBA (2022) and IBCASC (2018)
• Student Poster Award, International Indian Statistical Association (2017)

His work includes developing open-source statistical tools such as the SUFA and CAPPMx packages for subspace factor analysis and scalable Bayesian computation. He collaborates with researchers in psychology and biomedical sciences to advance interdisciplinary research.