Department Directory

Yongmiao Hong is the Ernest S. Liu Professor of Economics and International Studies Emeritus.
 

Henry's research interest include statistics, image science, bioinformatics, data science, machine learning, artificial intelligence, biomedical studies, and industrial applications.
 

Professor Hwang is also a Professor Emeritus in the Department of Mathematics.
Please see Professor Hwang's website for more information.
 

Thorsten Joachims is the Jacob Gould Schurman Professor of computer science and information science at Cornell University. He has also served as the interim dean for Cornell Bowers and as associate dean for research and as chair of the Department of Information Science. He is the director of the Cornell AI Initiative and Radical Collaboration. He has served as program chair of the ICML, KDD, and RecSys conferences, and he is a member of the IMLS Board and the SIGKDD Executive Committee. Thorsten Joachims joined Cornell in 2001 after finishing his Ph. D. as a student of Prof. Morik at the University of Dortmund, from where he also received a Diplom in computer science in 1997. 

Kallus's research revolves around data-driven decision making in operations, the interplay of optimization and statistics in decision making and inference, and the analytical capacities and challenges of unstructured, large-scale, and web-based data. His works span basic theory, effective methodology, and novel applications and has been recognized by awards.

M. Elizabeth Karns is a lawyer and epidemiologist. Her teaching is directly connected to her practice, which has focused on statistical evidence, occupational illnesses, assault and harassment injuries, and reproductive harms. Her current work on data science ethics brings together professional practice norms, individual values, and organizational goals. 

Kengo Kato is a professor of statistics and data science. His research fields are mathematical statistics, econometrics, and economic statistics with a focus on high dimensional statistical and econometric models. In 2020, Kato was awarded the Japan Academy Medal, regarded as the most prestigious award for young Japanese researchers. Among his many awards and honors, he is also a fellow of the Institute of Mathematical Statistics (IMS) and the recipient of the Analysis Award from the Mathematical Society of Japan (2021). He is the editor-in-chief of Bernoulli and the associate editor of the Japanese Economic Review and the Journal of Statistical Planning and Inference.

Jaehee Kim's research interests are in the general fields of population-genetic dynamical systems, statistical genetics, and mathematical phylogenetics. She also applies mechanistic understanding of population genetics and evolutionary biology to solve important questions in mathematical epidemiology and forensic genetics.
Education
Ph.D. in Physics, Stanford University
B.A. in Physics, Columbia University
B.A. in Mathematics, Columbia University
 

Dan Kowal is an associate professor of statistics and data science. His research primarily revolves around three themes: (1) Bayesian models and algorithms for large and dependent (e.g., time series, spatial, functional) data, (2) modeling, generation, and imputation of mixed data, and (3) predictive inference for actionable and interpretable uncertainty quantification. He directs his research toward open questions in public health, epidemiology, physical activity data, economics, and finance. Recently, he has worked on addressing urgent issues related to racial inequities and biases in statistical modeling.

Amy Kuceyeski is an adjunct associate professor in the Department of Statistics and Data Science and an associate professor of mathematics in the Radiology Department and Brain and Mind Research Institute at Weill Cornell Medicine. She performs research in quantitative neuroimaging of neurological disorders, including multiple sclerosis, stroke, traumatic brain injury and disorders of consciousness.
 
 

David S. Matteson is a professor of statistics and data science at Cornell University and director of the National Institute of Statistical Sciences. He is also director of graduate studies in data science, and founding executive committee member for the Cornell Center for Data Science for Enterprise and Society. His research centers on statistical methods for modeling complex human and natural processes and systems, with expertise in dynamic, spatial, functional, and network data science and machine learning. He received a CAREER Award from the National Science Foundation, the Chancellor’s Award for Scholarship and Creative Activities from the State University of New York, the inaugural Ann S. Bowers Research Excellence Award, Faculty Research Awards from the Xerox/PARC Foundation and LinkedIn, and is a Fellow of the American Statistical Association (ASA) and Institute of Mathematical Statistics (IMS). He has served as lead PI and director for several National Science Foundation-funded collaborative institutes, and he founded and serves as editor-in-chief for the new open access ASA journal Data Science in Science.

Francesca Molinari is a professor in the economics department. Her research focuses on econometric theory and applied econometrics. She got her PhD in Economics from Northwestern University and her BS in Economics from the Universita degli Studi di Torino. 
 

Yang Ning is an associate professor of statistics and data science. The theme of his research is to develop statistical methods and theory to quantify the uncertainty (confidence interval and hypothesis test) in modern data sets, which are characterized by high dimensionality, complexity, and heterogeneity. He enjoys working at the interface of mathematical statistics, machine learning, and stochastic optimization. He is also interested in applied projects in genomics, neuroscience, epidemiology, and clinical trials. 

Michael Nussbaum is a professor of mathematics. His research program focuses on asymptotic methods in quantum statistics, in particular on hypothesis testing and discrimination between states of quantum systems. Further topics are the equivalence theory of statistical experiments, asymptotic inference in locally stationary time series and adaptive nonparametric hypothesis testing.
 

Sidney Resnick joined the Cornell faculty in 1987 after nine years at Colorado State University, six years at Stanford University, and two years at the Technion, in Haifa, Israel. He has held visiting appointments at the University of Amsterdam and the Amsterdam Mathematics Center; the Australian National University and CSIRO, in Canberra, Australia; the Technion in Israel (as a Lady Davis Fellow); Sussex University, in Brighton, UK, Erasmus University Rotterdam, ETH Zurich, Department of Statistics, UNC, Chapel Hill; Columbia University; Samsi, Research Triangle Park, NC; Technical University Munich (as John Von Neuman Visiting Professor). Resnick is a fellow of the Institute of Mathematical Statistics, and while at Colorado State was an Oliver Pennock Distinguished Service Award winner. He is a founding associate editor of Annals of Applied Probability, and a current associate editor of Stochastic Models, Extremes, Stochastic Processes and their Applications and The Mathematical Scientist. He is a former associate editor of Journal of Applied Probability. He served a three-year term on the Council of the Institute of Mathematical Statistics and served on their ad hoc committee on electronic publishing. He is currently an editor for Birkhauser, Boston serving on the boards of the Progress in Probability and Progress in Probability and Its Applications series and also serves on the editorial board of the Springer series Operations Research and Financial Engineering. His BS is from Queens College, NYC and his PhD is from Purdue. Resnick concluded a five year term as Director of Cornell's School of Operations Research and Information Engineering in June 2004. Professor Resnick has authored or coauthored 160 papers and four books.
 

David Ruppert is the Andrew Schultz Jr. Professor of Engineering in the School of Operations Research and Information Engineering, and professor of statistics and data science at Cornell University. He received a B.A. in mathematics from Cornell in 1970, an M.A. in mathematics from the University of Vermont in 1973, and a Ph.D. in statistics and probability from Michigan State University in 1977. He was assistant and then associate professor of statistics at the University of North Carolina, Chapel Hill, from 1977 to 1987. He is a Fellow of the ASA and IMS, and received the Wilcoxon Prize in 1986. Ruppert was named a "highly cited" researcher by ISIHighlyCited.com and was ranked 21st in mathematics by journal citations. 

I joined the Cornell faculty in 1978 as a member of the Biometrics Unit in the Department of Plant Breeding and Biometry; this became the Department of Biometrics, and subsequently the Department of Biological Statistics and Computational Biology. I am also a faculty member in the Department of Statistical Science. I was the Director of Undergraduate Studies for the Biometry and Statistics program from 1991 to 2009. I retired from active faculty status in December 2011.

Melissa Smith is a teaching professor in the Department of Statistics and Data Science. She joined the faculty in January 2013. She received an A.B. in mathematics from Dartmouth College and completed a Ph.D. in biostatistics at the University of North Carolina at Chapel Hill in 1996. Her previous positions were at the Indiana University School of Medicine in the Department of Biostatistics, the Marion County Health Department (Indianapolis), and the Cornell Statistical Consulting Unit (CSCU). She works in applied statistics on problems in medicine, public health, and health policy.