Faculty

Full-Time Faculty


Stephen Devlin

Program Director
(415) 422-6509

Stephen Devlin is a Professor in the Department of Mathematics and Statistics and is the director of the Master’s in Data Science program (MSDS). 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 include both pure...

Education:

PhD, Mathematics, University of Maryland, 2001

David Guy Brizan

Assistant Professor
(415) 422-4813

David is an assistant professor at the University of San Francisco. His research interests are natural language processing, machine learning, and databases — specifically on the personal and cultural/demographic information transmitted during speech and typing. This research may lead to more accurate speech recognition systems. Prior to joining USF, David was a research assistant in the Speech Lab at Queens College and an instructor at Hunter College. He has previously worked for the City of...

Education:

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

Expertise:

Speech Processing, Applications of Machine Learning

Sophie Engle

Associate Professor
(415) 422-4174

Sophie’s research interests include data visualization and computer science education. She is a co-founder of the Visualization and Graphics Lab (VGL) and on the steering committee for the Symposium on Visualization for Cyber Security (VizSec). She is passionate about supporting diverse learners in the classroom, and integrating one-on-one student/faculty interaction into her courses on software development and data visualization. https://sjengle.cs.usfca.edu

Education:

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

Expertise:

Data Visualization, Computer Science Education

Jeff Hamrick

Full 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 supports the university's Master of Science in Financial Analysis (MSFA) program. For the MSDS program, he has designed courses in linear regression analysis, time series analysis, multivariate statistical analysis, and SAS programming. In the MSFA program, he teaches econometrics and financial econometrics. Professor Hamrick contributes his extensive...

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

Yannet Interian

Assistant Professor
(607) 279-5554

Yannet is an assistant professor in the Master’s in Data Science program, and her research interests lie in the application of machine learning and deep learning to medical data. She holds a PhD in applied mathematics from Cornell University and a BS in mathematics from the University of Havana, Cuba. After a postdoctoral fellowship at UC Berkeley, she worked for five years as a data scientist at Google. Yannet co-founded Akualab, a start-up that helped organizations develop data-driven...

Education:

PhD, Applied Mathematics, Cornell University

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

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

Rachel Thomas

Assistant Professor

Rachel Thomas is the co-founder of fast.ai, which created the Practical Deep Learning for Coders course taken by over 200,000 students and which has been featured in The Economist, MIT Tech Review, and Forbes. She was selected by Forbes as one of 20 Incredible Women in AI, earned her math PhD at Duke, and was an early engineer at Uber. Rachel is a popular writer and keynote speaker on topics of data ethics, AI accessibility, and bias in machine learning.

Education:

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

Shan Wang

Assistant Professor
(415) 422-2966

Shan is an assistant professor at the University of San Francisco and currently teaching full time for USF's Data Science programs. Her research interests are nonparametric estimation, prediction models, and applied statistics. Shan also works closely with experts from different fields. She has experiences in NIH and NSF grants in cancer research and GIS. She holds a PhD in statistics from Purdue University (IUPUI campus) and a BS in mathematics from Fudan University in China.

Education:

PhD, Statistics, Purdue University, 2015, BS, Mathematics, Fudan University, 2009

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 appointments in the Department of Mathematics and Statistics and the MS in Data Science program, where he has developed and taught courses in Bayesian statistics, machine learning, data science, and network analysis. In research, James develops new statistical and computational techniques to model, analyze, and explore high-dimensional and relational (...

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

Diane Woodbridge

Assistant Professor
(415) 422-4812

Diane Woodbridge is an assistant professor in the MS in Data Science program at the University of San Francisco. Her 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

Part-Time Faculty


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 University where he shot high powered X-rays at tiny molecules. Jumping ship from academia, he worked at many startups (including his own) and has been pioneering big data techniques all the way. Michael specializes in building distributed data systems and extracting knowledge from massive data. He spends most of his time writing customized, multi-...

Education:

PhD, Indiana University

Jason Shu

Adjunct Professor

Jason has a deep background in data science. He currently works as SVP of Data Science at Aki Technologies and previously served as Head of Data Science and Analytics for FinTech data solutions provider Womply. He spent twelve years at The Boeing Company in engineering, operations research, strategy, and business development. Jason previously served as an Advisory Board Member to the Data Institute.

Education:

MBA, Georgetown University, MS, Analytics, University of San Francisco, MS, Systems Engineering, USC, BS, Mechanical Engineering, University of Illinois