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G Analytics

Analytics Faculty

Tel:(415) 422-4638

William Bosl

Assistant Professor; Director, MSHI Program


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-threaded code for statistical modeling and machine learning approaches to everyday big data problems.

Tel:(415) 422-6509

Stephen Devlin

Associate Professor, Mathematics; Director, Data Science

My recent interests include complex networks, game theory, and dynamics on networks. I am also interested in representation theory and non linear groups. Office HoursM 1.00-2.00pm; W 1.30-3.00pm; & by appointment

Tel:(650) 353-6949

Matthew Dixon

Assistant Professor

Matthew Dixon began his career as a quantitative developer at Lehman Brothers in London before pursuing academics and consulting in the finance and IT industry for many years. He is a respected international researcher and consultant of analytics and financial risk, whose career has taken him all over the world. He has taught computational analytics, data acquisition and applications of analytics in the Master of Science in Analytics program.

Tel:(415) 422-4174

Sophie Engle

Assistant Professor

Professor Engle received her Ph.D. in computer science from the University of California, Davis in 2010, and her B.S. in Computer Science with a minor in Mathematics from the University of Nebraska at Omaha in 2002. Her research focus 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.

Tel:(415) 422-2810

Patricia Francis-Lyon

Assistant Professor

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. Patricia holds a PhD in Computer Science with emphasis on Computational Biology from the University of California at Davis.

Tel:(415) 422-6810

Jeff Hamrick

Associate Professor

Jeff Hamrick has designed courses in linear regression analysis, time series analysis, multivariate statistical analysis, and SAS programming. Dr. Hamrick is a CFA charterholder, a chartered Financial Risk Manager (FRM), and his academic work in "big data" stems from his interests in natural language processing, market microstructure (e.g., models of intraday asset prices), and sabermetrics (i.e., the use of statistical and computational methodologies to study baseball).


Yannet Interian

Adjunct Professor

Yannet’s research interests are in the area of data mining and applied statistics using large-scale datasets, as they apply to problems in advertising, viral media and on-line social networks. She holds a Ph.D. in Applied Mathematics from Cornell University and a B.S. in Mathematics from the University of Havana, Cuba. She has been working at Google for five years as a Data Scientist, currently at Google Plus and previously at Google TV Ads and YouTube. In her spare time, Yannet is an amateur woodworker.

Tel:(415) 422-2527

Paul Intrevado

Assistant Professor

Assistant Professor Paul Intrevado is a highly respected and award-winning educator and consultant in the fields of Operations Management and Healthcare, working to develop economically sustainable patient-centric solutions to pressing healthcare issues. He brings to USF a diverse wealth of professional experience through numerous high-profile consulting projects that have taken him to Canada, the USA, Kenya, Turkey, Norway, and India.


David Latterman


David Latterman is a Public Research Associate of the McCarthy Center. He also teaches political campaigning and quantitative political research.

Tel:(415) 422-4722

Andrew Nguyen

Assistant Professor

Tel:(415) 422-5707

Terence Parr


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.Terence holds a Ph.D. in Computer Engineering from Purdue University and was a postdoctoral fellow at the Army High-Performance Computing Research Center at the University of Minnesota.


Nicholas Ross

Adjunct Professor

Nick Ross received his Ph.D. from UCLA's Anderson School of Business in 2012. His research interests revolve around how asymmetric information affects decision-making and, professionally, he builds systems that attempt to violate the CAP theorem. Currently, Nick works in the video game industry where he takes the fun out of games.

Tel:(415) 422-4917

Cindi Thompson

Assistant Professor

Cindi teaches in both the MS Analytics and Computer Science programs. Her research interests include text analytics, social media analytics, and combining structured and unstructured data for business applications. Cindi has experience in both industry and academia, having led or participated in a variety of applied R&D projects in multiple industries. Before coming to USF, Cindi was part of Deloitte Analytics leading Text Analytics and Social Media Analytics. She was previously at PwC as a Sr. Manager and at University of Utah School of Computing as an Assistant Professor. Cindi received her Ph.D. and M.A. in Computer Sciences from the University of Texas at Austin and her B.S. in Computer Science from North Carolina State University.


David Uminsky

Assistant Professor, Mathematics; Director, Analytics

David's research interests are in applying mathematics to unsupervised machine learning and data clustering methods. He is specifically interested in developing new provably convergent and highly accurate algorithms to perform unsupervised data clustering. He is also the founding director of the Bachelor's program in Data Science at USF, and currently director of the Masters in Analytics program. Before joining USF he was a combined NSF and UC President's Fellow at UCLA. He holds a Ph.D. in Mathematics from Boston University and a B.S. in Mathematics from Harvey Mudd College.