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

William Bosl

Associate Professor
(415) 422-4638

Dr. William (Bill) Bosl, Associate Professor of Health Informatics and Clinical Psychology at the University of San Francisco. His primary research focus is on clinical neurophysiology and neurodiagnostics. In 2018 Professor Bosl was 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 Children's Hospital, that...

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, Biosignal Analysis and Quantitative EEG, 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

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

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

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, Data Visualization, 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:

Bioinformatics, Directed Reading and Research, Computer Science for Health Informatics Professionals, Clinical Decision Support and Health Data Analytics, 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

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:

Review Probability and Stats, Decision Modeling & Data Analytics

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, Advanced Machine Learning, Special Topics in Analytics, Seminar Series V

Paul Intrevado

Assistant Professor of Data Science
(415) 422-2527

Paul Intrevado is an Assistant Professor of Data Science in the Department of Mathematics & Statistics. Paul is a co-director of the Machine...

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

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

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:

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

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, 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:

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

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, Statistical Learning, Directed Reading and Research, Computational Statistics, Experiments in Data Science

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:

Product Analytics, Distributed Data Systems

Contact Info

MS in Data Science

Kirsten Keihl, Assistant Director

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