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

Faculty


David Uminsky

Program Director
(415) 422-6637

David Uminsky is the director for the MS in Data Science program. His 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...

Education:

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

Courses:

Differential Equations, Directed Reading and Research, Review of Linear Algebra

William Bosl

Associate Professor
(415) 422-4638

Dr. William (Bill) Bosl is currently an associate professor of Health Informatics and Clinical Psychology at the University of San Francisco. His primary research focus is in clinical neurophysiology and neurodiagnostics. Professor Bosl has recently been appointed Visiting Associate Professor of Pediatrics at Harvard Medical School.  In May 2018, the Scientific Reports journal released a groundbreaking study, led by Dr. Bosl, together with his colleagues at Harvard Medical School and Boston...

Education:

PhD, Behavioral Neuroscience, Boston University School of Medicine | PhD, Geophysics, Stanford University | MA, Mathematics, University of Pittsburgh | MS, Atmospheric Physics, University of Michigan | BS, Chemistry, Miami University

Courses:

Perspectives on Health Informatics, Statistical Computing for Biomedical Data Analytics, Capstone Project in Health Informatics, Project in Health Informatics, Graduate Directed Study, Clinical Dissertation Proposal Seminar, Biological Psychology, Clinical Neuropsychology and Neuropsychological Screening, Statistics for the Social Sciences, Clinical Dissertation Seminar

David Guy Brizan

Assistant Professor
(415) 422-4813

David is completing his PhD at CUNY's Graduate Center, working with Andrew Rosenberg. His research interests are natural language processing and...

Education:

PhD, Computer Science, CUNY Graduate Center (candidate) | MS Computer Science, San Francisco State University | BS Computer & Information Science, Brooklyn College

Expertise:

Natural Language Processing, Machine Learning

Courses:

Data Struct & Algorithms, Directed Reading and Research, Special Topics in Computer Science, Introduction to Machine Learning, Special Topics in Analytics, Interview Skills

Michael Brzustowicz

Adjunct Professor

Michael Brzustowicz is a physicist turned data scientist. After a PhD from Indiana University, Michael spent his post doctoral years at Stanford...

Education:

PhD, Indiana University

Courses:

Special Topics in Analytics, Distributed Data Systems

Stephen Devlin

Associate Professor
(415) 422-6509

Stephen Devlin's recent interests include complex networks, game theory, and dynamics on networks. He is also interested in representation theory and...

Education:

PhD, Mathematics, University of Maryland, 2001

Courses:

Data Mining, Special Topics in Computer Science, Biostatistics, Calculus and Analytic Geometry I, Calculus and Analytic Geometry II, Discrete Mathematics, Elementary Linear Algebra, Mathematical Modeling, Directed Reading and Research, Real Analysis

Sophie Engle

Associate Professor
(415) 422-4174

Professor Engle's research focuses is on computer security, including topics such as vulnerability analysis, insider threat, and electronic voting. Her research interests also include topics such as data visualization and computer science education.

Education:

PhD in Computer Science, University of California, Davis, 2010.

Expertise:

Computer Security, Data Visualization, Computer Science Education

Courses:

Software Development, Data Visualization, Research Seminar in CS, Directed Reading & Research, Data Visualization, Research Seminar in CS, Practicum Study

Patricia Francis-Lyon

Assistant Professor
(415) 422-2810

Patricia’s research interests include the application of computational biology, algorithms and mathematical models to problems and predictions involving protein structure and genomics. Her focus is on the application of machine learning to discovery and decision making as related to health.

Education:

PhD, Computer Science with emphasis on Computational Biology, University of California at Davis

Courses:

Computer Science for Health Informatics Professionals, Statistical Computing for Biomedical Data Analytics, Projects in Statistical Computing for Biomedical Data Analytics, Bioinformatics, Statistical Computing for Biomedical Informatics, Capstone Project in Health Informatics, Project in Health Informatics, Graduate Directed Study, Bioinformatics, Directed Reading and Research

Jeff Hamrick

Associate Professor
(415) 422-6810

Associate Professor of Finance Jeff Hamrick has been instrumental in developing USF's MS in Data Science (MSDS) program. His teaching also...

Education:

PhD, Mathematics, Boston University, Massachusetts, 2009 | Certificate in Computational Science, Boston University, Massachusetts, 2009 | MA, Mathematics, Boston University, Massachusetts, 2004 | BS, Mathematics, minor in Applied Statistics, Stetson University, Florida, 2002 | BBA, Financial Economics, Stetson University, Florida, 2002 | BA, History, Stetson University, Florida, 2002

Courses:

Decision Modeling & Data Analytics, Review of Probability and Statistics, Linear Regression Analysis

Jeremy Howard

Researcher in Residence

Jeremy Howard is an entrepreneur, business strategist, developer, and educator. He is a founding researcher at fast.ai, a research institute...

Yannet Interian

Assistant Professor

Yannet is an Assistant Professor at University of San Francisco. Her research interests are data mining and applied statistics, using large datasets...

Education:

PhD, Applied Mathematics, Cornell University

Courses:

Seminar Series III, Seminar Series IV, Practicum I, Data Visualization, Practicum II, Practicum III, Advanced Machine Learning, Special Topics in Analytics, Practicum IV, Seminar Series I, Seminar Series II, Seminar Series V, Interview Skills

Paul Intrevado

Assistant Professor, Associate Director of The Data Institute
(415) 422-2527

Paul Intrevado is an Assistant Professor of Mathematics & Statistics, and serves as the the Associate Director of the Data Institute. Professor...

Education:

PhD, Operations Management, McGill University | MSc Industrial Engineering, Purdue University | BSc Industrial Engineering, Purdue University | Baccalaureate of Commerce, McGill University

Courses:

Intro to Data Science with R, Special Topics in Computer Science, Business Statistics, Exploratory Data Analysis, Linear Regression Analysis, Practicum I, Practicum II, Practicum III, Practicum IV

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, Data Acquisition

Nicholas Ross

Assistant Professor

Nicolas Ross received his PhD from UCLA's Anderson School of Business in 2012. His research interests revolve around how asymmetric information...

Education:

Ph.D., Anderson School of Business, University of California, Los Angeles, California, 2012. | M.A., Economics, University of California, Davis, California, 2007 | B.A., Applied Mathematics, Honors, University of California, Berkeley, California, 2002.

Courses:

Principles of Managerial Accounting, Product Analytics, Practicum I, Communications for Analytics, Practicum II, Practicum III, Practicum IV, Relational Databases

Brian Spiering

Assistant Professor

Brian Spiering is an Assistant Professor at University of San Francisco. His passions are teaching, Python, and Data Science for social good.

Education:

PhD, Psychology, University of California, Santa Barbara

Courses:

Introduction to Computer Science I, Special Topics in Computer Science, Communications for Analytics, Introduction to Machine Learning, Special Topics in Analytics

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:

Business Statistics, Probability with Applications, Statistics with Applications, Linear Regression, Directed Reading and Research, Time Series Analysis, Special Topics in Analytics

Rachel Thomas

Assistant Professor

Rachel Thomas has a math PhD from Duke and was selected by Forbes as one of “20 Incredible Women Advancing AI Research.” She is co-founder of fast.ai...

Education:

PhD, Mathematics, Duke University | BA, Mathematics, Swarthmore College

Courses:

Special Topics in Analytics

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, Probability with Applications, Statistical Learning, Directed Reading and Research, Linear Regression Analysis, Introduction to Machine Learning, Multivariate Statistical Analysis, Computational Statistics, Special Topics in Analytics

Diane Woodbridge

Assistant Professor
(415) 422-4812

Professor Woodbridge's research interests include database management systems, data fusion and data mining in various domains including biomedical, geoscience and geospatial remote sensing. Prior to joining USF, Professor Woodbridge was with the scalable analysis and visualization department at Sandia National Laboratories.

Education:

PhD, Computer Science, University of California, Los Angeles | MS, Computer Science, University of California, Los Angeles | BS, Computer Science and Engineering, Sogang University, South Korea

Courses:

Distributed Computing, Web Analytics, Distributed Data Systems, Data Science App Development

Contact Info

MS in Data Science

Kirsten Keihl, Assistant Director

USF Downtown Campus, 101 Howard Street, San Francisco, CA 94105 (415) 422-2966