Home
College of Arts and Sciences / Undergraduate Programs / Data Science / Faculty

Faculty


Nathaniel Stevens

Program Director

Nathaniel is an Assistant Professor of Statistics at the University of San Francisco with a PhD from the University of Waterloo. He teaches jointly...

Education:

PhD, Statistics, University of Waterloo, 2014 | MMATH, Statistics, University of Waterloo, 2011 | BMATH, Statistics, University of Waterloo, 2010 | Minor, Pure Math and Psychology, University of Waterloo, 2010

Courses:

Probability with Applications, Statistics with Applications, Linear Regression, Directed Reading and Research

James Wilson

Program Director
(415) 422-6505

James is an Assistant Professor of Statistics and Co-Director of the BS in Data Science program at the University of San Francisco. He has joint...

Education:

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

Courses:

Intro to Data Science with R, Directed Reading and Research, Business Statistics, Statistical Learning, Directed Reading and Research, Computational Statistics, Experiments in Data Science

Gregory Benson

Professor
(415) 422-5066

Professor Benson's research areas include operating systems, parallel computing, and programming languages. He has designed and developed several run-time systems and tools for parallel programming languages and libraries.

Education:

PhD from the University of California, Davis

Expertise:

Operating Systems, Parallel Computing, Programming Languages

Courses:

Computer Architecture, Laboratory, Operating Systems, Laboratory, Directed Reading & Research, Directed Reading and Research, Systems Foundations, Directed Reading and Research

Stephen Devlin

Associate Professor
(415) 422-6509

Stephen Devlin is an Associate Professor in the Department of Mathematics and Statistics and is the director of the Master’s in Data Science program...

Education:

PhD, Mathematics, University of Maryland, 2001

Courses:

Biostatistics, Calculus and Analytic Geometry II, Discrete Mathematics, Elementary Linear Algebra, Mathematical Modeling, Directed Reading and Research, Real Analysis

Terence Parr

Professor
(415) 422-5707

Terence is a professor of computer science and is the creator of the ANTLR parser generator. He herded programmers and implemented the large jGuru developers web site, during which time he developed and refined the StringTemplate engine. Terence has consulted for and held various technical positions at companies such as IBM, Lockheed Missiles and Space, NeXT, and Renault Automation. Terence was an expert witness for Google in the Oracle v Google Android lawsuit. His passion is writing software.

Education:

PhD in Computer Engineering, Purdue University '93

Expertise:

Software engineering, Programming language design and implementation, How programmers communicate with machines to build new software

Courses:

Prog Language Paradigms, Programming Languages, Directed Reading and Research, Computation for Analytics, Problem Solving with Python

Abbie Popa

Postdoctoral Fellow

Abbie is a postdoctoral fellow at the Data Institute of USF. Prior to working at USF, she did research examining electrical brain signals from...

Education:

PhD, Neuroscience, UC Davis | BS, Cognitive Neuroscience, Brown University

Expertise:

Clinical Neuroscience, Cognitive Neuroscience, Neural Time Series, Machine Learning, Network Modelling and Analysis

Courses:

Intro to Data Science with R

Nathaniel Stevens

Assistant Professor

Nathaniel is an Assistant Professor of Statistics at the University of San Francisco with a PhD from the University of Waterloo. He teaches jointly...

Education:

PhD, Statistics, University of Waterloo, 2014 | MMATH, Statistics, University of Waterloo, 2011 | BMATH, Statistics, University of Waterloo, 2010 | Minor, Pure Math and Psychology, University of Waterloo, 2010

Courses:

Probability with Applications, Statistics with Applications, Linear Regression, Directed Reading and Research

David Uminsky

Associate Professor, Mathematics; Director of the Data Institute
(415) 422-6637

David Uminsky's research interests are in applied mathematics. He is interested in unsupervised machine learning, data clustering, algebraic signal processing, as well as pattern formation, dynamical systems and fluids. David was selected in 2015 by the National Academy of Sciences (NAS) as a Kavli Frontiers of Science Fellow. Each year, 100 researchers under the age of 45 are selected by the academy, and the 20% of the current NAS were previous Kavli Fellows. He is also the founding director...

Education:

PhD, Mathematics, Boston University | BS, Mathematics, Harvey Mudd College

Courses:

Differential Equations, Directed Reading and Research

James Wilson

Assistant Professor
(415) 422-6505

James is an Assistant Professor of Statistics and Co-Director of the BS in Data Science program at the University of San Francisco. He has joint...

Education:

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

Courses:

Intro to Data Science with R, Directed Reading and Research, Business Statistics, Statistical Learning, Directed Reading and Research, Computational Statistics, Experiments in Data Science

Contact Info

Department of Mathematics and Statistics

Mon-Fri, 8:30a.m. - 5p.m.

Harney Science Center 121 (415) 422-6747 (415) 422-5747