معرفی
Robert E. 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. His career spans statistics, machine learning, and neuroscience, focusing on statistical methods for analyzing neural data, particularly spike trains and brain connectivity.
Research highlights include:
- Developing statistical frameworks for neural data analysis
- Investigating neural oscillations and cross-regional interactions
- Contributing to neuroscience education through Neuromatch Academy
- Exploring intersections between statistics, machine learning, and scientific inference
Scientific awards and recognitions include:
- Outstanding Statistical Application Award (ASA)
- Distinguished Achievement Award (COPSS, 2017)
- Election to National Academy of Sciences (2023)
- Fellowships in ASA, IMS, AAAS
His recent publications focus on:
- Neural circuit oscillations and phase-amplitude analysis
- Latent dynamic modeling of high-dimensional neural recordings
- Population-level neural interactions and connectivity
- Educational frameworks for computational neuroscience training
- Methodological bridges between statistics and machine learning
- Advanced graphical models for neural synchronization studies
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