Yulia Gel | |
---|---|
Education | |
Known for | Topological Data Analysis |
Scientific career | |
Fields | Statistics |
Institutions | |
Academic advisors | Vladimir N. Fomin |
Yulia R. Gel is a professor in the Department of Mathematical Sciences at the University of Texas at Dallas [1] and an adjunct professor in the Department of Statistics and Actuarial Science of the University of Waterloo. [2]
Gel earned her doctorate in mathematics at Saint Petersburg State University in Russia, under the supervision of Vladimir N. Fomin. [3] After postdoctoral research at the University of Washington, she joined the Waterloo faculty in 2004, and moved to Dallas in 2014. [4]
Prior to joining the University of Texas at Dallas, Yulia Gel served as an Assistant/Associate Professor with tenure in the Department of Statistics and Actuarial Sciences at the University of Waterloo, Canada, from 2004 to 2014. She has also held visiting positions at prominent institutions such as NASA Jet Propulsion Lab (Caltech), the Isaac Newton Institute for Mathematical Sciences (Cambridge, UK), Johns Hopkins University, University of California at Berkeley, and George Washington University.
Yulia Gel has a diverse range of research interests that span statistical foundations of data science, machine learning, topological and geometric methods in statistics, and topological data analysis. Her work focuses on graph mining, inference for random graphs and complex networks, uncertainty quantification in network analysis, data depth on networks, time series analysis, spatio-temporal processes, and climate informatics. She is particularly interested in the application of statistical and data science techniques to domains such as healthcare predictive analytics and climate informatics.
In 2014 Yulia was elected as a Fellow of the American Statistical Association" for theoretical contributions to nonparametric aspects of spatiotemporal processes; for promoting the application of modern statistical methodologies in law, public policy, and the environmental sciences; and for championing the advancement of women and other under-represented groups in the mathematical and physical sciences." [5]
The Faculty of Mathematics is one of six faculties of the University of Waterloo in Waterloo, Ontario, offering more than 500 courses in mathematics, statistics and computer science. The faculty also houses the David R. Cheriton School of Computer Science, formerly the faculty's computer science department. There are more than 31,000 alumni.
David X. Li is a Chinese-born Canadian quantitative analyst and actuary who pioneered the use of Gaussian copula models for the pricing of collateralized debt obligations (CDOs) in the early 2000s. The Financial Times has called him "the world’s most influential actuary", while in the aftermath of the 2007–2008 financial crisis, to which Li's model has been partly credited to blame, his model has been called a "recipe for disaster" in the hands of those who did not fully understand his research and misapplied it. Widespread application of simplified Gaussian copula models to financial products such as securities may have contributed to the 2007–2008 financial crisis. David Li is currently an adjunct professor at the University of Waterloo in the Statistics and Actuarial Sciences department.
Applied mathematics is the application of mathematical methods by different fields such as physics, engineering, medicine, biology, finance, business, computer science, and industry. Thus, applied mathematics is a combination of mathematical science and specialized knowledge. The term "applied mathematics" also describes the professional specialty in which mathematicians work on practical problems by formulating and studying mathematical models.
Anuška Ferligoj is a Slovenian mathematician, born August 19, 1947, in Ljubljana, Slovenia, whose specialty is statistics and network analysis. Her specific interests include multivariate analysis, cluster analysis, social network analysis, methodological research of public opinion, analysis of scientific networks. She is a professor emeritus at the University of Ljubljana, Slovenia.
Raymond James Carroll is an American statistician, and Distinguished Professor of statistics, nutrition and toxicology at Texas A&M University. He is a recipient of 1988 COPSS Presidents' Award and 2002 R. A. Fisher Lectureship. He has made fundamental contributions to measurement error model, nonparametric and semiparametric modeling.
Grace Yun Yi is a professor of the University of Western Ontario where she currently holds a Tier I Canada Research Chair in Data Science. She was a professor at the University of Waterloo, Canada, where she holds a University Research Chair in Statistical and Actuarial Science. Her research concerns event history analysis with missing data and its applications in medicine, engineering, and social science.
Patrick L. Brockett is an endowed Chaired Professor within the Information, Risk and Operations Management, Finance, and Mathematics departments at The University of Texas at Austin. He is the Director of the Risk Management and Insurance Program, Director for the Center of Risk Management and Insurance, and Director for the Minor/Certificate in Risk Management Program. He is also an Affiliated Faculty Member in the University of Texas- Austin Division of Statistics & Scientific Computation. He is known for his research in statistics, probability, actuarial science, quantitative methods in business and social sciences, and risk and insurance. The American Risk and Insurance Association (ARIA) endowed and named a research award in his honor: The Patrick Brockett & Arnold Shapiro Actuarial Research Award, awarded to the actuarial journal article that makes the best contribution of interest to ARIA risk management and insurance researchers.
Louise Marie Ryan is an Australian biostatistician, a distinguished professor of statistics in the School of Mathematical Sciences at the University of Technology Sydney, president-elect of the International Biometric Society, and an editor-in-chief of the journal Statistics in Medicine. She is known for her work applying statistics to cancer and risk assessment in environmental health.
Nancy E. Heckman is a Canadian statistician, interested in nonparametric regression, smoothing, functional data analysis, and applications of statistics in evolutionary biology. From 2008 to 2018, she served as head of the statistics department at the University of British Columbia.
Rongwei (Rochelle) F. Fu is a biostatistician who uses meta-analysis to understand disease incidence, detection, and treatment. She is a professor of biostatistics, medical informatics and clinical epidemiology at the Oregon Health & Science University (OHSU), and the director of biostatistics education at OHSU. She has also worked as lead biostatistician for the OHSU Center for Policy and Research in Emergency Medicine (CPR-EM), at the Pacific Northwest Evidence-based Practice Center (EPC), and at the OHSU Research Center for Gender-Based Medicine.
Mary Elinore Thompson is a Canadian statistician. She is Distinguished Professor Emerita of Statistics and Actuarial Science at the University of Waterloo, the former president of the Statistical Society of Canada, and the founding scientific director of the Canadian Statistical Sciences Institute. Her research interests include survey methodology and statistical sampling; she is also known for her work applying statistics to guide tobacco control policy.
Charmaine B. Dean is a statistician from Trinidad. She is the vice president for research at the University of Waterloo, a professor of statistical and actuarial sciences at both Waterloo and Western University, the former president of the Western North American Region of the International Biometric Society, and the former President of the Statistical Society of Canada. Her research interests include longitudinal studies, survival analysis, spatiotemporal data, heart surgery, and wildfires.
Daniela M. Witten is an American biostatistician. She is a professor and the Dorothy Gilford Endowed Chair of Mathematical Statistics at the University of Washington. Her research investigates the use of machine learning to understand high-dimensional data.
Sue Geller is an American mathematician and a professor emerita of mathematics at the department of mathematics at Texas A&M University. She is noted for her research background in algebraic K-theory, as well as her interdisciplinary work in bioinformatics and biostatistics, among other disciplines.
Christine Michaela Anderson-Cook is a U.S. and Canadian statistician known for her work on the design of experiments, response surface methodology, reliability analysis in quality engineering, multiple objective optimization and decision-making, and the applications of statistics in nuclear forensics. She has published over 250 research articles in statistical, engineering and interdisciplinary journals. She has also written on misunderstandings caused by "hidden jargon": technical terms in statistics that are difficult to distinguish from colloquial English.
Mary Rosalyn Hardy is a professor of actuarial science at the University of Waterloo (Canada). She pioneered, together with Julia Wirch, the development and application of the conditional tail expectation (CTE).
Cyntha Anne Struthers is a Canadian mathematical statistician whose research topics include missing data in longitudinal studies and proportional hazards models. She is an associate professor of statistics and actuarial science at the University of Waterloo, and the former president of the Caucus for Women in Statistics.
Sonja Petrović is a Serbian-American statistician and associate professor in the Department of Applied Mathematics, College of Computing, at Illinois Institute of Technology. Her research is focused on mathematical statistics and algebraic statistics, applied and computational algebraic geometry and random graph (network) models. She was elected to the International Statistics Institute in 2015.
Fillia S. Makedon is a Greek-American computer scientist whose research has spanned a broad variety of areas in computer science, including VLSI design, graph algorithms, numerical linear algebra, sensor networks, algorithm visualization, bioinformatics, recommender systems, and human–robot interaction. She is Jenkins-Garrett Professor of Computer Science and Engineering at the University of Texas at Arlington.
Bei Zeng is a quantum information theorist and professor of physics at the The University of Texas at Dallas. As well as quantum information, her research interests include quantum computing and quantum error correction.