dMining Technology Team Bio's
Dr. Edward J. Wegman, Ph.D., Principal
Edward J. Wegman received his Ph.D. degrees in mathematical
statistics from the University of Iowa in 1968. Subsequently, he spent 10 years on the
faculty of the world-class
Department of Statistics at the University of North Carolina. In 1978, Professor Wegman went to the Office of Naval Research (ONR) where he was the Head of the Mathematical Sciences Division. In this role, he had responsibility Navy-wide for basic research programs in applied mathematics, statistics and probability, systems theory, operations research, discrete mathematics, communication theory, and numerical analysis and computational architectures. As part of his duties at the Office of Naval Research, coined the phrase, computational statistics, and developed a high profile research area around this concept. The idea was to focus on techniques and methodologies which could not be achieved without the capabilities
of modern computing resources. This program led to a revolution in contemporary statistical graphics. Dr. Wegman was the original program director of the basic research program in Ultra High Speed Computing at the Strategic Defense Initiative's Innovative Science and Technology Office (Star Wars Program). As the SDI program officer, Dr. Wegman was responsible for programs in software development tools, highly parallel architectures and optical computing.
Dr. Wegman is the Bernard J. Dunn Professor of Information Technology and Applied Statistics, the Chair of the Data Sciences Program in the School of Computational Sciences, and the Director of the Center for Computational Statistics. He was the founding Chair
of the Department of Applied and Engineering Statistics.
He served as President of the International Association for Statistical Computing. He has published more than 160 papers and eight books. His professional stature has been recognized by his election as Fellow of the American Statistical Association, the American Association for the Advancement of Science, the Washington Academy of Science and the Institute of Mathematical Statistics. In addition he was elected as a Senior Member of IEEE. Dr. Wegman has been elected to membership in the International Statistical Institute. Dr. Wegman has also received numerous Navy awards including the Navy's Meritorious Civilian Service Medal. Wegman has received the 1990 Distinguished Faculty Award and the 1999
Outstanding Research Award from George Mason University, the 1999 Army Wilks Medal from the U.S. Army, the 2002 Founder's Award from the American Statistical Association, and the 2004 Distinguished Alumni Achievement Award from the University of Iowa.
Dr. Ali S. Hadi, Ph.D.
Ali S. Hadi is a Stephen H. Weiss Presidential Fellow and
Professor Emeritus, Department of Statistical Sciences, Cornell University and Professor
of Mathematical, Statistical and Computing
Sciences, Department of Mathematics, The American University in Cairo. Dr. Hadi received his Ph. D. degree with honors from New York University in 1984. Prior to joining AUC in 2000, he has worked at Cornell University and has held the ranks of assistant, associate, and full professor and has served as the chair of the Department of Social Statistics from 1994-1998.
Dr. Hadi is a former Distinguished Visiting Professor Clemson University and a former Visiting Professor at the University of Castilla La Mancha (Spain), Neuchâtel University (Switzerland),
University of Carlos III (Spain), Cantabria University (Spain), Umea University (Sweden), and New York University.
Dr. Hadi has written five books, four book chapters, and more than 80 articles in refereed journals. He has taught graduate and undergraduate courses in statistics, mathematics, expert systems, and artificial intelligence; and has won several excellence-in-teaching awards. He is a Co-Editor of the Journal of Economic and Social Research, Editor-in-chief of a Special issue of
the International Journal of Statistical Sciences, a past Editor of the Newsletter of the International Environmetrics Society, an associate editor of Environmetrics, and an associate editor of TEST: Journal of the Spanish Statistical and Operations Research Society. He is an elected Fellow of the American Statistical Association and an Elected member of the International Statistical Institute.
Dr. Michael Larsen, Ph.D.
Michael Larsen Ph.D., Associate Professor in the Department of Statistics at GWU, joined The Biostatistics Center 2009. He received a Ph.D. in Statistics from Harvard University. Dr. Larsen is an elected fellow of the American Statistical Association (2012) and an elected member of the International Statistical Institute (2010) and was a Distinguished Scholar at the U.S. Census Bureau (2012).
He has been elected to four positions in the ASA's Survey Research Methods Section, including program chair (2012) and chair-elect (2015). His interests include survey sampling, missing data, record linkage and administrative records, disclosure limitation and confidentiality, Bayesain statistics, hierarchical and mixture models, statistical modeling of complex data, and statistics education.
At the National Academy of Sciences he is a member of the standing committee on re-engineering census operations. He previously was a member of the panel on Census 2010 and the steering committee of a CNSTAT workshop for the National Science Foundation on surveying nonprofit organization about research and development. Dr. Larsen has engaged in extensive editorial and review work.
He is a permanent member of the NIH's Biostatistical Research Methods and Design study section. He was executive editor for Chance (2008-2010). He serves as associate editor for a number of journals. He has consulted for and collaborated with researchers at a number of government agencies, research organizations, companies, and academic departments. Dr. Larsen has advised several master's degree students and 6 PhD students with an additional 3 in progress.
Vadim Y. Bichutskiy, M.S., M.S.
Vadim Y. Bichutskiy is a Ph.D. Candidate in Computational and Data Sciences at George Mason University. Mr. Bichutskiy earned the M.S. degree in Computer Science from University of California--Irvine where his research helped find a cure for cancer, and
the M.S. degreee in Statistics from California State University--East Bay where his research proposed a novel statistical methodology
and developed new strategies for teaching statistics and data science.
He has published research articles in data analytics, database integration, computational statistics, statistics education, statistical methodology, data visualization, artificial intelligence, and algorithm development. His industry experience spans data science and engineering leadership and consulting positions in Silicon Valley, federal government, start-ups, and academia in a variety of application areas including Web data mining, market research, education, bioinformatics, political science, and economics. He's a visionary and influencer, and a sought-after speaker and trainer on big data, analytics, and data science. He's a co-organizer and Digital Director for Interface 2015