Faculty & Staff
Faculty for the Analytics program are drawn from various disciplines across Georgetown University and affiliated organizations. The core faculty are members of the Department of Computer Science and the Department of Mathematics & Statistics.
The Data Science program is taught by faculty members of Georgetown’s Analytics Program, the Departments of Computer Science and Mathematics & Statistics. These faculty members are leading experts in algorithms, information retrieval, data mining, machine learning, visual analytics, environmental statistics, statistical methodologies, and more. In addition, adjunct faculty from local industry and government teach select courses in their area of expertise. The program will continue to add instructors as necessary to address developing needs and challenges in the field of data science.
Full-Time Core Faculty
Hans Engler is a Professor in the Department of Mathematics and Statistics at Georgetown University. His research interests are in applied mathematics, computational statistics, and data science. Recent scientific work has been in mathematics of climate and transportation models. Dr. Engler has also worked for the National Science Foundation as a program officer and has consulted with engineering labs, law firms, and startup companies in the DC area.
Ami M. Gates
Associate Teaching Professor
Ami Gates is an Associate Professor of Teaching in the Department of Computer Science and in the Analytics Program at Georgetown University. Her specialization is data analytics, data visualization, data mining, machine learning, statistics, and information technology. Her general research interests are visual analytics, machine learning applications, biological and epidemiological analytics, and educational technology. Gates is an educational technology and data analytics consultant.
Todd Leen is Professor and Director of the Data Analytics Program. Leen received his PhD in theoretical physics and has been conducting research in machine learning for twenty-five years. His research in machine learning spans theory, algorithm development, and applications (including large-scale environmental systems, signal processing, and healthcare delivery). He has also collaborated with theoretical and experimental neuroscientists on circuit models and computer-controlled probes of a sensory-motor system in weakly electric fish. Leen's current work develops perturbation expansions for densities arising from non-linear Markov processes --- a mathematical tool with applications to stochastic optimization, adaptation and learning, state estimation, and chemical and gene expression dynamics. Leen joined Georgetown in 2016 following a rotation as program director at the National Science Foundation where he oversaw programs in machine intelligence and computer applications to sustainability, and helped craft the NSF role in the BRAIN Initiative. Professor Leen's full curriculum vitae.
Lisa Singh is a Professor in the Department of Computer Science at Georgetown University. Her specialization is database systems, data mining, and data science. Her general research interests are mining social networks and other dynamic graphs, anomaly detection, graph databases, data reduction of large graph data sets, privacy preserving data mining, and visual analytics.
Nate Strawn holds joint appointments in Analytics and in the Department of Mathematics and Statistics. Dr. Strawn’s research draws on probability, optimization, geometry and topology to advance theory and algorithms in data science. He also uses tools from algebraic geometry in signal processing via frame theory. Strawn received his PhD in Mathematics in 2011 from the University of Maryland, College Park for his work on geometry and optimization in finite frame theory. Prior to joining Georgetown University in 2015, he was Senior research Engineer at the Johns Hopkins University Applied Physics Laboratory, an FDA ORISE Fellow, and a postdoctoral research associate and Visiting Assistant Professor of Math at Duke University.
Justin Thaler holds joint appointments in Analytics and in the Department of Computer Science at Georgetown University. He is broadly interested in algorithms and computational complexity theory, especially algorithms for massive datasets, computational learning theory, and verifiable computation. He previously spent two years as a Research Scientist at Yahoo Labs in New York City.
Heather Connor is the Program Coordinator for the Graduate Analytics Program at Georgetown University. She holds an interdisciplinary Master's degree in Humanities from the University of Chicago, where she started her career in graduate student services. From there, she continued working with graduate students at the University of Southern California and the University of Texas at Arlington. Her extensive experience with master's and doctoral students focuses on prospective student admissions and current student advising.
Part-Time Core Faculty
Rajeev R. Bhattacharya, Ph.D. is affiliated with Georgetown University as a professor with research and teaching responsibilities. Dr. Bhattacharya has over two decades’ research, consulting, and teaching experience in finance, applied microeconomics, and Big Data. He has been affiliated with leading consulting firms such as Berkeley Research Group, Law & Economics Consulting Group, and Boston Consulting Group. He has served on the full-time faculty of Georgetown University, Washington University in St. Louis, and University of New South Wales. Professor Bhattacharya has published on securities class actions and efficiency of capital markets; capital asset pricing model (CAPM); agency theory; price wars and pricing; trust (900 citations); and other topics, in journals such as the Santa Clara Law Review and Academy of Management Review, in conference proceedings such as those of the Econometric Society; and in the Palgrave Encyclopedia of Strategic Management. A recent publication is profiled on the website of Stanford University. Dr. Bhattacharya has been a testifying and consulting expert on a number of matters in finance, antitrust, class actions, and intellectual property, and has been declared an Outstanding Researcher by the United States Federal Government.
Keegan Hines is an Adjunct Professor in the Data Analytics Program. Keegan received his PhD in Neuroscience from the University of Texas with a focus on applying machine learning techniques to Biological problems. His current research interests involve network security and defense and the development of algorithms for anomaly detection at large scale. Keegan is a Machine Learning Engineer at Capital One.
Dan Loehr is the head of the Human Language Technology (HLT) Department at The MITRE Corporation in McLean, VA. For many years he has managed a variety of projects in research, development, and evaluation of technologies in HLT. His research spans the study of gesture and speech intonation in discourse, computer dialog systems, machine translation, tools for speech corpus annotation, and constructing an Arabic multimodal corpus. Dr. Loehr has taught graduate courses in descriptive and computational linguistics, spoken language interfaces, and intonation and gesture in language.
Joshuah Touyz is an Adjunct Professor in the Data Analytics Program. Joshuah received his PhD in Statistics from The George Washington University with a focus on applied and theoretical aspects of multivariate spatial statistics. His past research includes applications to modeling long-memory weather patterns, algorithmic development for generating high dimensional fields and novel methods for pricing complex financial insurance products. Dr. Touyz is a past board member of Data Community DC and founder of Data Education DC. He is a data scientist in corporate strategy at Capital One Financial where he manages statistics, machine learning and data engineering projects.
Marck Vaisman is an Adjunct Professor in the Data Analytics and Math/Stats Masters programs at Georgetown. He is a Data Scientist at Booz Allen Hamilton where he designs data-driven solutions to help clients make better business decisions, recognize opportunities, experiment, gain insights, and solve difficult problems using large datasets and a combination of tools. His expertise lies in making data work for the problem at hand, drawing from experience in multiple industries including Internet, telecommunications, and high tech. Marck founded Data Community DC, an organization that promotes Data Science and Analytics practitioners in the Washington DC Metro area. He holds a B.S. in Mechanical Engineering from Boston University and an MBA from Vanderbilt University.
Irina Vayndiner is a Senior Technical Staff at MITRE. She received her M.S. in Mathematics and Physics from Moscow University, specializing in space mechanics. Irina has 18 years of Industry and Government experience in a variety of projects related to Big Data. Irina teaches multiple classes in the area of Information Technology. She presented at numerous scientific and technology conferences, has multiple publications, and a patent in the area of database security.
Ali Arab is an Associate Professor of Statistics. His research interests include hierarchical Bayesian models, spatial and spatio-temporal models, environmental and ecological applications, Bayesian methods, climate change and anthropogenic impacts on natural processes, and risk and reliability assessment. He is affiliated with the Georgetown University's Center for the Environment and the newly established Environment Initiative. He also has a secondary appointment as an Adjunct Assistant Professor at the Department of Forestry & Natural Resources of Clemson University, Clemson, SC.
Jeremy Fineman is an Assistant Professor in the Department of Computer Science at Georgetown University. His research interests primarily lie in algorithm design and analysis, focusing on parallel algorithms, scheduling, and memory-efficient or large-data algorithms. He is also interested in classic (sequential) algorithms and data structures.
Nazli Goharian is a Clinical Professor in the Department of Computer Science at Georgetown University, and is a member of the Information Retrieval Lab. Her research, publications, and doctoral student mentorship span the domains of information retrieval and text mining.
Mark Maloof is a Professor in the Department of Computer Science at Georgetown University. His research interests include machine learning, data mining, on-line learning algorithms, concept drift, and applications of machine learning and data mining to computer security. He led the effort that established Georgetown's first graduate program in computer science and served as their first director.
Mahlet Tadesse is an Associate Professor in the Department of Mathematics & Statistics at Georgetown University. She also holds an Adjunct Associate Professor position in the Department of Epidemiology at Harvard University. She received her doctorate in Biostatistics from Harvard University and served on the faculty at the University of Pennsylvania as Assistant Professor of Biostatistics prior to joining Georgetown University. She is an elected member of the International Statistical Institute and a fellow of the American Statistical Association. Her research focuses on the development of statistical and computational tools for the analysis of large-scale genomic data. She is particularly interested in stochastic search methods and Bayesian inferential strategies to identify structures and relation ships in high-dimensional data sets. Some research problems she is currently working on include: (1) identification of biologically relevant markers and prediction of clinical outcomes in a unified manner, (2) integration of various genomic data sources, (3) integration of biological knowledge in the evaluation of genomic data.
Grace Hui Yang
Grace Hui Yang is an Assistant Professor in the Department of Computer Science at Georgetown University. She is leading the InfoSense group at Georgetown University. Her research interests include Web search, information retrieval, text mining, natural language processing, machine learning and privacy. Her recent research focuses on dynamic information retrieval modeling and applications, and privacy-preserving information retrieval. She is a recipient of the National Science Foundation (NSF) Faculty Early Career Development Program (CAREER) Award.
Wenchao Zhou is an Assistant Professor in the Department of Computer Science at Georgetown University. His research interests center on the use of data-centric and formal techniques toward ensuring safe and secure distributed systems. He is also interested in distributed data management and the application of database technologies to networked systems.