معرفی
Robert Kass is the Maurice Falk University Professor of Statistics and Computational Neuroscience at Carnegie Mellon University, with affiliations in the Department of Statistics & Data Science, Machine Learning Department, and Neuroscience Institute. He has served as Department Head of Statistics for 9 years and held leadership roles in academic societies.
- Ph.D. in Statistics (University of Chicago, 1980)
- B.A. in Mathematics (Antioch College)
- Postdoctoral training at Princeton University
His research bridges statistics and neuroscience, focusing on:
- Statistical methods for neural data analysis
- Bayesian inference and graphical models
- Point process modeling of spike trains
- High-dimensional and time-series analysis
- Computational neuroscience education
Recent publications span computational neuroscience, emphasizing phase coupling analysis, latent variable modeling, and cross-population dynamics, with methodological innovations in neural data interpretation. As founding Editor-in-Chief of Bayesian Analysis and Executive Editor of Statistical Science, he shaped academic discourse in statistics.
Key scientific recognitions:
- Outstanding Statistical Application Award (ASA)
- Distinguished Achievement Award (COPSS)
- National Academy of Sciences member (2023)
He co-authored the influential textbook Analysis of Neural Data and developed international workshops like Statistical Analysis of Neuronal Data (2002-2017), advancing neuroscience methodology globally.
