Program Director

Daniel Jerison studies probability theory. He is interested in the properties of random objects, such as random planar maps and abelian sand piles, and in the convergence of Markov chain Monte Carlo algorithms.

Education:
  • Stanford University, PhD in Mathematics, 2016
  • Harvard University, BA in Mathematics, 2007

Full-Time Faculty

Cody Carroll is an assistant professor with joint appointments in the Department of Mathematics and Statistics and the Master's in Data Science and Artificial Intelligence program (MS-DSAI). He holds a PhD and MS in Statistics from the University of California, Davis and a BS in mathematics from the University of Texas at Austin. His methodological research interests focus on functional and longitudinal data, particularly in the context of human growth and aging, and his interdisciplinary work...

Education:
  • UC Davis, PhD in Statistics, 2021
  • UC Davis, MS in Statistics, 2017
  • UT Austin, BS in Mathematics, 2014
Expertise:
  • Time warping & curve registration
  • Multivariate functional data
  • Statistical consulting
  • Communication through statistics
Harney Science Center 122C

Stephen Devlin is a Professor in the Department of Mathematics and Statistics and the Master’s in Data Science and Artificial Intelligence program (MS-DSAI). He has also served as department chair and director of the undergraduate data science program. Stephen has a bachelor’s degree from Manhattan College in New York, and a Ph.D. in mathematics from the University of Maryland. He was a C.L.E. Moore Instructor at MIT before moving to the University of San Francisco. His research interests...

Education:
  • PhD, Mathematics, University of Maryland, 2001
Harney Science Center 121B

Daniel is the director of the Bachelors of Science in Data Science program. Daniel's research interests are in large-scale optimization modeling and algorithms. His postdoctoral research in the UCLA Department of Radiation Oncology focused on applications of optimization in radiation therapy, medical imaging, and machine learning.

Education:
  • PhD, Mathematics, UCLA
Harney Science Center Office 121A

James is a statistics and data science educator, researcher, mentor, and enthusiast. His research merges computational statistics, random graph theory, and machine learning to provide interpretable machinery to model, explore, and analyze complex interacting and imaging systems. He is particularly interested in understanding the interplay between social dynamics and neuro-biological systems that describe aging, behavior and disease. His research has been supported by grants from the National...

Education:
  • PhD, Statistics and Operations Research, University of North Carolina, 2015
  • MS, Mathematical Sciences, Clemson University, 2010
  • BS, Mathematics and Chemistry, Campbell University, 2008

Part-Time Faculty

For Professor Damon, teaching math is a second career; before teaching she worked in the finance industry as a bond fund manager. In her spare time she likes working math problems, jogging, hiking, reading, and baking sourdough bread.

Education:
  • San Francisco State University, MA in Mathematics, 2011
  • UC Berkeley, BA in Applied Mathematics, 1983
  • UC Berkeley, BA in Economics, 1983
Education:
  • PhD, Mathematics, Monash University, 2011