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...
PhD, Mathematics, University of Maryland, 2001
Biostatistics, Calculus and Analytic Geometry II, Discrete Mathematics, Elementary Linear Algebra, Mathematical Modeling, Directed Reading and Research, Real Analysis
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. Dr. Bosl is leading a series of projects to discover patterns in infant EEG signals that can serve as biomarkers for autism and other neurodevelopmental pathology in collaboration with...
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
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 is completing his PhD at CUNY's Graduate Center, working with Andrew Rosenberg. His research interests are natural language processing and...
PhD, Computer Science, CUNY Graduate Center (candidate) | MS Computer Science, San Francisco State University | BS Computer & Information Science, Brooklyn College
Natural Language Processing, Machine Learning
Data Struct & Algorithms, Directed Reading and Research, Special Topics in Computer Science
Michael Brzustowicz is a physicist turned data scientist. After a PhD from Indiana University, Michael spent his post doctoral years at Stanford...
PhD, Indiana University
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.
PhD in Computer Science, University of California, Davis, 2010.
Data Visualization, Computer Science Education
Software Development, Data Visualization, Data Visualization, Practicum Study
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.
PhD, Computer Science with emphasis on Computational Biology, University of California at Davis
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
Associate Professor of Finance Jeff Hamrick has been instrumental in developing USF's MS in Data Science (MSDS) program. His teaching also...
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
Review Probability and Stats, Decision Modeling & Data Analytics
Jeremy Howard is an entrepreneur, business strategist, developer, and educator. He is a founding researcher at fast.ai, a research institute...
Yannet is an Assistant Professor at University of San Francisco. Her research interests are data mining and applied statistics, using large datasets...
PhD, Applied Mathematics, Cornell University
Seminar Series III, Seminar Series IV, Advanced Machine Learning, Special Topics in Analytics, Seminar Series V
Paul Intrevado is an Assistant Professor of Data Science in the Department of Mathematics & Statistics. Paul is a co-director of the Machine...
PhD, Operations Management, McGill University | MSc Industrial Engineering, Purdue University | BSc Industrial Engineering, Purdue University | Baccalaureate of Commerce, McGill University
Intro to Data Science with R, Special Topics in Computer Science, Business Statistics
Nicolas Ross received his PhD from UCLA's Anderson School of Business in 2012. His research interests revolve around how asymmetric information...
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.
Product Analytics, Practicum II, Practicum III, Practicum IV, Relational Databases, Principles of Managerial Accounting
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...
MBA, Georgetown University | MS, Analytics, University of San Francisco | MS, Systems Engineering, USC | BS, Mechanical Engineering, University of Illinois
Brian Spiering is an Assistant Professor at University of San Francisco. His passions are teaching, Python, and Data Science for social good.
PhD, Psychology, University of California, Santa Barbara
Introduction to Computer Science I, Special Topics in Computer Science, Special Topics in Analytics
Nathaniel is an Assistant Professor of Statistics at the University of San Francisco with a PhD from the University of Waterloo. He teaches jointly...
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
Probability with Applications, Statistics with Applications, Linear Regression, Directed Reading and Research
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.
PhD, Mathematics, Duke University | BA, Mathematics, Swarthmore College
Special Topics in Analytics
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...
PhD, Mathematics, Boston University | BS, Mathematics, Harvey Mudd College
Differential Equations, Directed Reading and Research
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...
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
Intro to Data Science with R, Directed Reading and Research, Business Statistics, Statistical Learning, Directed Reading and Research, Computational Statistics, Experiments in Data Science
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.
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
Product Analytics, Distributed Data Systems
Kirsten Keihl, Assistant Director
