Florentina Bunea [1] is a Romanian-American statistician, interested in machine learning, the theory of empirical processes, and high-dimensional statistics. She is a professor at Cornell University.
Florentina Bunea [1] is a Romanian-American statistician, interested in machine learning, the theory of empirical processes, and high-dimensional statistics. She is a professor at Cornell University.
Bunea earned Bachelor's and Master's degrees at the University of Bucharest in 1989 and 1991. After working as an assistant professor at the Politehnica University of Bucharest from 1991 to 1995, she returned to graduate study at the University of Washington. [2] She earned her Ph.D. there in 2000; her dissertation, A Model Selection Approach to Partially Linear Regression, was supervised by Jon A. Wellner. [3]
She joined the statistics faculty at Florida State University in 2000, [2] [4] and moved to Cornell University in 2011. [2] [5] At Cornell, she is a faculty member in the Department of Statistics and Data Science, a member of the Center for Applied Mathematics and the Machine Learning Group in Cornell Computing and Information Science (CIS). [6]
In 2017, Bunea was elected as a Fellow of the Institute of Mathematical Statistics. [2] [7]
Grace Goldsmith Wahba is an American statistician and retired I. J. Schoenberg-Hilldale Professor of Statistics at the University of Wisconsin–Madison. She is a pioneer in methods for smoothing noisy data. Best known for the development of generalized cross-validation and "Wahba's problem", she has developed methods with applications in demographic studies, machine learning, DNA microarrays, risk modeling, medical imaging, and climate prediction.
Lawrence David (Larry) Brown was Miers Busch Professor and Professor of Statistics at the Wharton School of the University of Pennsylvania in Philadelphia, Pennsylvania. He is known for his groundbreaking work in a broad range of fields including decision theory, recurrence and partial differential equations, nonparametric function estimation, minimax and adaptation theory, and the analysis of census data and call-center data.
Tianwen Tony Cai is a Chinese statistician. He is the Daniel H. Silberberg Professor of Statistics and Vice Dean at the Wharton School of the University of Pennsylvania. He is also professor of Applied Math & Computational Science Graduate Group, and associate scholar at the Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania. In 2008 Tony Cai was awarded the COPSS Presidents' Award.
Cynthia Dwork is an American computer scientist best known for her contributions to cryptography, distributed computing, and algorithmic fairness. She is one of the inventors of differential privacy and proof-of-work.
Jianqing Fan is a statistician, financial econometrician, and data scientist. He is currently the Frederick L. Moore '18 Professor of Finance, Professor of Operations Research and Financial Engineering, Professor of Statistics and Machine Learning, and a former Chairman of Department of Operations Research and Financial Engineering (2012–2015) and a former director of Committee of Statistical Studies (2005–2017) at Princeton University, where he directs both statistics lab and financial econometrics lab since 2008.
Bin Yu is a Chinese-American statistician. She is currently Chancellor's Professor in the Departments of Statistics and of Electrical Engineering & Computer Sciences at the University of California, Berkeley.
Lynne Billard is an Australian statistician and professor at the University of Georgia, known for her statistics research, leadership, and advocacy for women in science. She has served as president of the American Statistical Association, and the International Biometric Society, one of a handful of people to have led both organizations.
Yulia R. Gel is a professor in the Department of Mathematical Sciences at the University of Texas at Dallas and an adjunct professor in the Department of Statistics and Actuarial Science of the University of Waterloo.
Elizabeth H. Slate is an American statistician, interested in the Bayesian statistics of longitudinal data and applications to health. She is the Duncan McLean and Pearl Levine Fairweather Professor of Statistics at Florida State University. Some of Slate's most heavily cited work concerns the effects of selenium on cancer. Slate's research has also included work on the early detection of osteoarthritis.
Elizaveta (Liza) Levina is a Russian and American mathematical statistician. She is the Vijay Nair Collegiate Professor of Statistics at the University of Michigan, and is known for her work in high-dimensional statistics, including covariance estimation, graphical models, statistical network analysis, and nonparametric statistics.
Peiyong "Annie" Qu is a Chinese-American statistician known for her work on estimating equations and semiparametric models. Her research interests also include longitudinal analysis, nonparametric statistics and robust statistics, missing data, and biostatistics.
Tian Zheng is a Chinese-American applied statistician whose work concerns Bayesian modeling and sparse learning of complex data from applications including social networks, bioinformatics, and geoscience. She is a professor of statistics at Columbia University, and chair of the Columbia Department of Statistics.
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.
Katya Scheinberg is a Russian-American applied mathematician known for her research in continuous optimization and particularly in derivative-free optimization. She works at Cornell University and is a professor in Cornell's School of Operations Research and Information Engineering.
Tamara Ann Broderick is an American computer scientist at the Massachusetts Institute of Technology. She works on machine learning and Bayesian inference.
Cynthia Diane Rudin is an American computer scientist and statistician specializing in machine learning and known for her work in interpretable machine learning. She is the director of the Interpretable Machine Learning Lab at Duke University, where she is a professor of computer science, electrical and computer engineering, statistical science, and biostatistics and bioinformatics. In 2022, she won the Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence (AAAI) for her work on the importance of transparency for AI systems in high-risk domains.
Chao Agnes Hsiung is a Taiwanese biostatistician. She is a Distinguished Investigator in the Taiwanese National Health Research Institutes (NHRI), and Director of the Institute of Population Health Sciences and of the Division of Biostatistics and Bioinformatics within the NHRI.
Maria-Florina (Nina) Balcan is a Romanian-American computer scientist whose research investigates machine learning, algorithmic game theory, theoretical computer science, including active learning, kernel methods, random-sampling mechanisms and envy-free pricing. She is an associate professor of computer science at Carnegie Mellon University.
Linda Hong Zhao is a Chinese-American statistician. She is a Professor of Statistics and at the Wharton School of the University of Pennsylvania. She is a Fellow of the Institute of Mathematical Statistics. Zhao specializes in modern machine learning methods.
Jon August Wellner is an American statistician known for his contributions to the fields of statistical inference, empirical process theory, and survival analysis.
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