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Kate CalderCatherine (Kate) Calder

Email: calder@austin.utexas.edu
Professor
Department of Statistics and Data Sciences (SDS)
Curriculum Vitae

Catherine (Kate) Calder joined the Statistics and Data Sciences faculty in 2019 and currently serves as department chair.  Previously, she spent 16 years on the faculty of The Ohio State University.  She served as an associate director (2015-2018) and co-director (2018-2019) of the Mathematical Biosciences Institute, an NSF Division of Mathematical Sciences Research Institute located on the Ohio State campus.  She is currently an associate editor for the Annals of Applied Statistics and Bayesian Analysis and has served the profession through various elected roles in sections of the American Statistical Association (ASA) and in the International Society for Bayesian Analysis.  Her research has been funded by the NIH, NSF, NASA, and other agencies and foundations.  She received the ASA Section on Statistics and the Environment’s 2013 Young Investigator Award and was elected Fellow of the ASA in 2014.

Ph.D., Statistics, Duke University, 2003

 

 

carvalhoCarlos Carvalho

Email: carvalho@mccombs.utexas.edu
Professor
Department of Statistics and Data Sciences (SDS)
Department of Information, Risk, and Operations Management (IROM)

Curriculum Vitae

Professor Carlos M. Carvalho joined the University of Texas at Austin in 2010. He was previously in the faculty of the University of Chicago. 

Ph.D. in Statistics, Duke University, 2006

 

 

Paul DamiDamien Paulen

Email: paul.damien@mccombs.utexas.edu
Professor

Department of Information, Risk, and Operations Management
Department of Statistics and Data Science
Curriculum Vitae

Paul Damien joined UT in 2004, prior to which he was at the University of Michigan Ross School of Business.

Ph.D., Mathematics, Imperial College, London, 1995

 

 

Linero Tony Antonio (Tony) Linero

Email: antonio.linero@austin.utexas.edu
Assistant Professor
Department of Statistics and Data Sciences (SDS)
Curriculum Vitae

Antonio Linero joined The University of Texas at Austin faculty in 2019. Before joining UT Austin, Antonio was an Assistant Professor in the Statistics department at Florida State University. He is a member of the International Society for Bayesian Analysis, the American Statistical Association, and serves as Associate Editor for Biometrics. In 2015, Antonio received the Laplace award from the Section on Bayesian Statistical Science of the American Statistical Association. His research has been supported by the National Science Foundation and through work with the Science of Test Research Consortium.

PhD Statistics,University of Florida, 2015.

 

 

meyersLauren Ancel Meyers

Email: laurenmeyers@austin.utexas.edu
Professor
Department of Integrative Biology (IB)
Curriculum Vitae

Lauren Ancel Meyers received her B.A. degree in Mathematics and Philosophy from Harvard University in 1996 and her Ph.D. from the department of Biological Sciences at Stanford University in 2000. She joined the faculty at the University of Texas at Austin in 2003 where she was recently promoted to Full Professor and awarded a Donald D. Harrington Faculty Fellowship. She has also been an active member of the external faculty of the Santa Fe Institute since 2003 and now serves on its Scientific Advisory Board. Lauren has developed new mathematical methods for forecasting and optimizing the control of infectious diseases including meningitis, HIV, influenza, walking pneumonia, and SARS. Her research has been published in over 45 peer-reviewed publications and funded by research grants from National Institutes of Health, the National Science Foundation, and the James S. McDonnell Foundation. The Wall Street Journal, Newsweek, the BBC, and other news sources have highlighted Lauren's work; and a number of government agencies have sought her expertise, including the Centers for Disease Control and Prevention (CDC), the Biomedical Advanced Research and Development Authority (BARDA), and the US National Intelligence Council. In 2004, the MIT Technology Review named Lauren as one of the top 100 global innovators under age 35.

 

 

Mueller PeterPeter Mueller

Email: pmueller@math.utexas.edu
Professor
Department of Statistics and Data Sciences
Department of Mathematics

Curriculum Vitae 

Peter Mueller joined The University of Texas at Austin faculty in 2011 sharing joint appointments in the Department of Statistics and Data Sciences and the Department of Mathematics. He is a member of the Oden Institute for Engineering and Computational Sciences, and adjunct professor at IROM, McCombs School of Business. He is adjunct professor of Biostatistics at M.D. Anderson Cancer Center. Before coming to Austin he served on the faculty in the Institute of Statistics and Decision Science at Duke University, and in the Department of Biostatistics at M.D. Anderson Cancer Center. He is an elected fellow of the International Society of Bayesian Analysis (ISBA), the American Statistical Association (ASA), and the Institute of Mathematical Statistics (IMS), and has been awarded the Zellner Medal (ISBA). He has served as elected president of the International Society of Bayesian Analysis (ISBA) and chair of the Section on Bayesian Statistical Science of the ASA (ASA/SBSS). Mueller has authored more than 210 scientific publications, 10 books and edited volumes and has served on the editorial board of three scientific journals and technical series.

Ph.D., Statistics, Purdue University, 1991

 

 

Murray JaredJared Murray

Email: jared.murray@mccombs.utexas.edu
Assistant Professor

Department of Information, Risk, and Operations Management
Department of Statistics and Data Sciences

Curriculum Vitae

 



 

 

Sager thomasTom Sager

Email: tomsager@mail.utexas.edu
Professor

Department of Information, Risk, and Operations Management
Department of Statistics and Data Sciences

Curriculum Vitae

The major part of my research focuses on the development and application of econometric models to study the empirical behavior of insurance companies. The models involve simultaneously interacting manifest and latent variables interacting in autocorrelated nonlinear panel data structures. I have applied these to the prediction of insurer insolvency, the risks of mortgage-backed securities, the effects of the Affordable Care Act, the assessment of global systemic risk, consequences of regulation, and other issues. I seek to illuminate how agency theory, transactions cost economics, theories of limited and unlimited risk, and other ideas play out to explain insurers’ management of their enterprise risks.

 

 

Sarkar AbhraAbhra Sarkar

Email: abhra.sarkar@utexas.edu
Assistant Professor
Department of Statistics and Data Sciences (SDS)
Curriculum Vitae  

Abhra Sarkar joined The University of Texas at Austin faculty in 2017 as an assistant professor of Statistics and Data Sciences. Prior to that, he was a postdoctoral research associate at Duke University, Durham, NC.  

Ph.D., Statistics, Texas A&M University, 2014

 

  

Sarkar PurnaPurnamrita Sarkar

Email: purna.sarkar@austin.utexas.edu
Assistant Professor

Department of Statistics and Data Sciences (SDS)
Curriculum Vitae

I work on large scale statistical machine learning problems with a focus on statistical models, asymptotic theory and scalable inference algorithms for large networks. I graduated from the School of Computer Science at Carnegie Mellon University in 2010. After earning my doctorate I was a postdoctoral scholar at U. C. Berkeley jointly in the Department of Electrical Engineering and Computer Sciences and the Department of Statistics. I received my Bachelor's degree in Computer Science from the Indian Institute of Technology, Kharagpur in 2004.

 

Scott JamesJames G. Scott

Email: james.scott@mccombs.utexas.edu
Professor

Department of Statistics and Data Sciences (SDS)
Department of Information, Risk, and Operations Management (IROM)
Curriculum Vitae

I am a Bayesian statistician. I study problems in model selection and multiple testing; connections between machine learning and Bayesian shrinkage estimation; variable selection and high-dimensional inference in non-linear, non-Gaussian models; and structured models for covariance matrices. Lately I've been thinking about how to make Bayesian-inspired approaches for sparse-signal detection scalable to enormous data sets, where many traditional Bayesian tools simply won't work. Some of my recent collaborations outside statistics include applied work in linguistics, neuroscience, clinical bio-informatics, and political science.

My Ph.D. is from Duke University, where I studied Bayesian model selection under Jim Berger. Before that I studied at Trinity College, Cambridge for two years. I was an undergraduate from 2000 to 2004 here at UT-Austin in the Dean's Scholars and Plan II honors programs. 

 

 

Tom Shivelynoprofilepic

Email: tom.shively@mccombs.utexas.edu
Professor

Department of Information, Risk, and Operations Management (IROM)
Curriculum Vitae

My research focuses on nonparametric function estimation and its application in energy economics, finance, marketing and transportation science. Current problems of interest include estimating univariate functions nonparametrically subject to shape constraints such as monotonicity and convexity, developing tests for monotonicity, and extending these results to multivariate functions using Bayesian additive regression trees. I am also interested in MCMC-based computational methods that allow for nonparametric function estimation in a wide range of non-Gaussian models including generalized mixed models, hazard function models and models for extreme values. My recent applied research focuses on modeling electricity prices in the deregulated Australian market using multivariate nonparametric methods.

I received a B.A. degree in Mathematics from Middlebury College in 1981, an M.B.A. from the University of Chicago in 1984, and a Ph.D. in Statistics from Chicago in 1986. I have been at The University of Texas at Austin since 1986.

 

 

Walker SStephen Walker

Professor
Department of Statistics and Data Sciences (SDS)
Department of Mathematics
Curriculum Vitae

I joined The University of Texas at Austin in 2013, having previously held positions at the University of Kent, Bath and Imperial College, all in the UK. I am currently Executive Editor for Journal of Statistical Planning and Inference, and Associate Editor for Journal of the American Statistical Association, having previously been Associate Editor for Scandinavian Journal of StatisticsStatistica Sinica, and Annals of Statistics. I have received an EPSRC Advanced Research Fellowship, 2001-2006, and have been funded by the NSF.

PhD Statistics, Imperial College, 1995

 

 

Williamson SineadSinead Williamson

Email: sineadannewilliamson@gmail.com
Assistant Professor

Department of Statistics and Data Sciences (SDS)
Department of Information, Risk, and Operations Management (IROM)
Curriculum Vitae

My main research focus is the development of nonparametric Bayesian methods for machine learning applications. In particular, I am interested in constructing distributions over correlated measures and structures, in order to model correlated data sets or data with spatio-temporal dependence. Examples include models for documents whose topical composition varies through time, and models for temporally evolving social networks. A key research goal is the development of efficient inference algorithms for such models, and I am currently investigating methods that allow us to apply Bayesian nonparametric techniques to large datasets.

 

 

Zhou MingyuanMingyuan Zhou

Email: Mingyuan.Zhou@mccombs.utexas.edu
Associate Professor

Department of Information, Risk, and Operations Management (IROM)
Curriculum Vitae

Mingyuan Zhou joined The University of Texas at Austin faculty in 2013. He is with the Department of Information, Risk, and Operations Management (IROM) at the McCombs School of Business, and also a core faculty member in the Department of Statistics and Data Sciences (SDS) at the College of Natural Sciences. He has served as the 2018-2019 treasurer of the Bayesian Nonparametrics Section of the International Society for Bayesian Analysis, and as area chairs for leading machine learning conferences, including NeurIPS 2017-2019, ICLR 2019, and AAAI 2020. 

Ph.D., Electrical and Computer Engineering, Duke University, 2013

 

 

Zigler CoryCory Zigler

Email: Cory.Zigler@austin.utexas.edu
Associate Professor
Department of Statistics and Data Sciences
Department of Women's Health (DMS)
Curriculum Vitae

Corwin (Cory) Zigler joined the faculty of The University of Texas at Austin in the Fall of 2018, sharing joint appointments in the Department of Statistics and Data Sciences and the Department of Women’s Health at Dell Medical School. Prior to joining UT, he was faculty in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. He currently serves as associate editor for the journals Biometrics and Biostatistics, and is heavily involved through elected positions in the Health Policy Statistics Section of the American Statistical Association. He has received research funding from NIH, EPA, and the Health Effects Institute, and his career awards include the 2010 Carolbeth Korn Prize for the most outstanding graduating student in the UCLA School of Public Health, a 2012 Young Investigator Award from the Statistics in Epidemiology Section of the American Statistical Association, and the 2019 Rothman Prize for the best paper published in Epidemiology.

Ph.D., Biostatistics, University of California, Los Angeles, 2010