Statistics

University of California, Berkeley

Overview

The Department of Statistics grants BA, MA, and PhD degrees in Statistics. The undergraduate and graduate programs allow students to participate in a field that is growing in importance and breadth of application. Understanding the natural and human worlds in the Information Age increasingly requires statistical reasoning and methods, and stochastic models are essential components of research and applications across a vast spectrum of fields. The Department of Statistics provides students with world-class resources for study and research, including access to the extensive computational facilities maintained by the Statistical Computing Facility.

Facilities and Resources

The Statistical Computing Facility (SCF) is a unit of the Department of Statistics. Its mission is to provide the undergraduate students, graduate students, postdocs, and faculty in the Statistics Department at Berkeley with state-of-the-art computing resources, services, and technical knowledge, supporting them in carrying out cutting-edge research activities, innovative instructional programs, and efficient day-to-day computing activities. The SCF also supports the students and faculty of the Econometrics Laboratory of the Department of Economics.

The Department of Statistics operates a consulting service in which advanced graduate students, under faculty supervision, are available as consultants during specified hours. The service is associated with the course STAT 272, which may be taken for credit. Consulting is free to members of the campus community. Statistical advice can be sought at any stage of the research process. Those seeking statistical advice are encouraged to contact consultants early in the research process. Refer to the Department of Statistics website to find out which faculty member is currently coordinating this service.

Three seminars regularly take place in the department: the Neyman seminar,  the probability seminar, and the statistics and genomics seminar. Each year, we also have two joint seminars with Stanford and a joint seminar with Davis.

Undergraduate Programs

Statistics: BA, Minor

Graduate Programs

Statistics: MA, PhD

Visit Department Website

Courses

Statistics

Faculty and Instructors

* Indicates this faculty member is the recipient of the Distinguished Teaching Award.

Faculty

* Ani Adhikari, Teaching Professor.

Peter L. Bartlett, Professor. Statistics, machine learning, statistical learning theory, adaptive control.
Research Profile

Andrew Bray, Associate Teaching Professor.
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James Bentley Brown, Assistant Adjunct Professor. Applications in Biology and Medicine.

Jennifer Chayes, Professor and Associate Provost and Dean, Division of Computing, Data Science, and Society. Phase transitions in computer science, structural and dynamical properties of networks, graphons, machine learning, ethical decision making, climate change.
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Peng Ding, Associate Professor. Statistical causal inference, missing data, Bayesian statistics, applied statistics.
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Sandrine Dudoit, Professor. Genomics, classification, statistical computing, biostatistics, cross-validation, density estimation, genetic mapping, high-throughput sequencing, loss-based estimation, microarray, model selection, multiple hypothesis testing, prediction, RNA-Seq.
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Steven N. Evans, Professor. Genetics, random matrices, superprocesses and other measure-valued processes, probability on algebraic structures -particularly local fields, applications of stochastic processes to biodemography, mathematical finance, phylogenetics and historical linguistics.
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Avi Feller, Associate Professor. Applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences.
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Will Fithian, Assistant Professor. Theoretical and Applied Statistics.
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Shirshendu Ganguly, Associate Professor. Probability theory, statistical mechanics.
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Vadim Gorin, Associate Professor. Integrable probability, random matrices, asymptotic representation theory.
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Adityanand Guntuboyina, Associate Professor. Nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory.
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Alan Hammond, Professor. Statistical mechanics.
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Erin Hartman, Assistant Professor. Causal inference and survey design and analysis.
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Giles Hooker, Professor. Data analysis for dynamical systems and differential equations, machine learning and data mining, functional data analysis.
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Haiyan Huang, Professor. Applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification.
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Jiantao Jiao, Assistant Professor. Artificial intelligence, control and intelligent systems and robotics, communications and networking.
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Michael I. Jordan, Professor. Computer science, artificial intelligence, bioinformatics, statistics, machine learning, electrical engineering, applied statistics, optimization.
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Michael William Mahoney, Associate Adjunct Professor. Statistical Computing, Applications in the Physical and Environmental Sciences, Applications in the Social Sciences, High Dimensional Data Analysis, Artificial Intelligence/Machine Learning .
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Jon Mcauliffe, Adjunct Professor. Bioinformatics, machine learning, nonparametrics, convex optimization, statistical computing, prediction, supervised learning.
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Song Mei, Assistant Professor. Data science, statistics, machine learning.
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Rasmus Nielsen, Professor. Statistical and computational aspects of evolutionary theory and genetics.
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Christopher Paciorek, Adjunct Professor. Environmental statistics, statistical computing, spatial statistics, Bayesian statistics.
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Fernando Perez, Associate Professor. High-level languages, interactive and literate computing, and reproducible research.
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Sam Pimentel, Assistant Professor. Causal inference, health services & policy analysis, biostatistics, discrete optimization.
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Elizabeth Purdom, Associate Professor. Computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics.
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Juliet Shaffer, Teaching Professor Emerita.

Alistair Sinclair, Professor. Algorithms, applied probability, statistics, random walks, Markov chains, computational applications of randomness, Markov chain Monte Carlo, statistical physics, combinatorial optimization.
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Yun Song, Professor. Computational biology, population genomics, applied probability and statistics.
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Philip B. Stark, Distinguished Professor. Astrophysics, law, statistics, litigation, causal inference, inverse problems, geophysics, elections, uncertainty quantification, educational technology.
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Jacob Steinhardt, Assistant Professor. Artificial intelligence, machine learning.
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Bernd Sturmfels, Professor. Mathematics, combinatorics, computational algebraic geometry.
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Ryan Tibshirani, Professor. High-dimensional statistics, nonparametric estimation, distribution-free inference, machine learning, convex optimization, numerical methods, tracking and forecasting epidemics.
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Mark J. Van Der Laan, Distinguished Professor. Statistics, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies.
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Martin Wainwright, Professor. Statistical machine learning, High-dimensional statistics, information theory, Optimization and algorithms.
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Bin Yu, Distinguished Professor. Neuroscience, remote sensing, networks, statistical machine learning, high-dimensional inference, massive data problems, document summarization .
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Nikita Zhivotovskiy, Assistant Professor. Mathematical statistics, probability, and learning theory.
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Lecturers

Thomas Bengtsson, Lecturer.

Fletcher H. Ibser, Lecturer.

Eaman Jahani, Lecturer.

Adam R. Lucas, Lecturer.

Libor Pospisil, Lecturer.

Gaston Sanchez Trujillo, Lecturer.

Shobhana Murali Stoyanov, Lecturer.

Visiting Faculty

Benson Au, Visiting Assistant Professor.

Wooseok Ha, Visiting Assistant Professor.

Yan Shuo Tan, Visiting Assistant Professor.

Emeritus Faculty

David Aldous, Professor Emeritus. Mathematical probability, applied probability, analysis of algorithms, phylogenetic trees, complex networks, random networks, entropy, spatial networks.
Research Profile

Peter J. Bickel, Professor Emeritus & Professor of the Graduate School. Statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology.
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David R. Brillinger, Professor Emeritus & Professor of the Graduate School. Risk analysis, statistical methods, data analysis, animal and fish motion trajectories, statistical applications in engineering and science, sports statistics.
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Ching-Shui Cheng, Professor Emeritus. Statistics, statistical design of experiments, combinatorial problems, efficient experimental design.
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Nicholas P. Jewell, Professor Emeritus & Professor of the Graduate School. AIDS, statistics, epidemiology, infectious diseases, Ebola Virus Disease, SARS, H1N1 influenza, adverse cardiovascular effects of pharmaceuticals, counting civilian casualties during conflicts.
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Michael J. Klass, Professor Emeritus. Statistics, mathematics, probability theory, combinatorics independent random variables, iterated logarithm, tail probabilities, functions of sums.
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Pressley W. Millar, Professor Emeritus. Statistics, Martingales, Markov processes, Gaussian processes, excursion theory, asymptotic statistical decision theory, nonparametrics, robustness, stochastic procedures, asymptotic minimas theory, bootstrap theory.
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* Deborah Nolan, Professor Emerita. Statistics, empirical process, high-dimensional modeling, technology in education.
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James W. Pitman, Professor Emeritus. Fragmentation, statistics, mathematics, Brownian motion, distribution theory, path transformations, stochastic processes, local time, excursions, random trees, random partitions, processes of coalescence.
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Roger A. Purves, Senior Teaching Professor. Statistics, foundations of probability, measurability.
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John A. Rice, Professor Emeritus. Transportation, astronomy, statistics, functional data analysis, time series analysis.
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Terence P. Speed, Professor Emeritus. Genomics, statistics, genetics and molecular biology, protein sequences.
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Aram Thomasian, Professor Emeritus.

Kenneth Wachter, Professor Emeritus & Professor of the Graduate School. Mathematical demography stochastic models, simulation, biodemography, federal statistical system.
Research Profile

Contact Information

Department of Statistics

367 Evans Hall, #3860

Phone: 510-642-2781

Fax: 510-641-7892

Visit Department Website

Department Chair

Haiyan Huang

367 Evans Hall

chair-stat@berkeley.edu

Undergraduate Student Services Advisor & Course and Curriculum Officer

Denise Yee

369 Evans Hall

stat-ugrad@berkeley.edu

Undergraduate Student Services Advisor & Course and Curriculum Officer

Natalie Poulos

371 Evans Hall

stat-ugrad@berkeley.edu

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