معرفی
Matthew T Harrison is an Associate Professor in the Division of Applied Mathematics at Brown University. He is affiliated with the Carney Institute for Brain Sciences, Data Science Institute, Center for Computational Brain Science, and Center for Statistical Sciences.
Education: PhD (2005) and ScM (2000) from Brown University, BA (1998) from University of Virginia.
Research interests: His work spans Statistics (conditional inference, multiple hypothesis testing), Neuroscience (multi-neuronal spiking data, exploratory analysis), Information theory (rate distortion theory, model selection), and Computer vision (structured models, perceptual organization). Collaborations extend to brain-computer interfaces and ecological modeling.
Publication trends: Recent articles focus on Bayesian filtering, statistical neuroscience methods, mixture models, and computational approaches to neural data. Themes include handling high-dimensional data, robust inference, and applications to biological and machine intelligence.
Scientific awards:
- Phi Beta Kappa (1997)
- Jefferson Scholarship (1994-1998)
- Howard Hughes Medical Institute Predoctoral Fellowship (1998)
- National Defense Science and Engineering Graduate Fellowship (1998-2001)
- IBM Watson Research Award (2014)
- Philip J. Bray Teaching Award (2014)
Advising: Mentors current PhD student Sicheng Liu and has advised former students including Jeffrey Miller (Harvard), Dahlia Nadkarni (Akamai), and Mona Khoshnevis. Collaborates with institutions like Carney Institute and Data Science Institute.
