معرفی
Surya Tapas Tokdar is a Professor of Statistical Science at Duke University and a Faculty Network Member of the Duke Institute for Brain Sciences. His research bridges Bayesian statistics, machine learning, and neuroscience.
- Ph.D. from Purdue University (2006)
Research Interests include neural signal processing, Bayesian density regression, Gaussian process modeling, and quantile regression. He focuses on understanding how statistical methods can decode brain activity patterns and address high-dimensional data challenges.
Recent Publications highlight his work on neural multiplexing, Bayesian topic models, and spatial data analysis. His studies often explore how neurons encode information and how statistical tools enhance interpretability.
Awards include the Leonard J. Savage Dissertation Award and participation in prestigious Bayesian inference seminars.
Grants span projects on neural information preservation, dependent extremes analysis, and gene-environment interactions.
