معرفی
Jonathan Taylor is a Professor of Statistics at Stanford University, with a joint appointment in Data Science. His research focuses on Gaussian processes, stochastic processes, differential geometric methods, neuroimaging, and HIV protein sequence analysis. He is known for his contributions to BrainSTAT/NiPy software and teaches courses like STATS 191, STATS 202, and STATS 306B.
Education: Details not explicitly provided in the text, but his role as a Professor suggests advanced degrees in Statistics or related fields.
Research Interests: His work spans
- Gaussian processes and smooth stochastic processes
- Differential geometric methods in statistics
- Integral geometry and geometric probability
- Multiple comparisons and False Discovery Rate
- Neuroimaging data modeling and analysis
- HIV protein sequence analysis and mutation patterns
Awards: Invited speaker at the International Congress of Mathematicians (ICM) 2018 in the Probability and Statistics track.
Contact: jonathan.taylor@stanford.edu, Office: Sequoia Hall 137, Stanford University.
