UC Berkeley Biostatistics UC Berkeley Biostatistics UC Berkeley UC Berkeley
 
Faculty

The faculty participating in Biostatistics is diverse in their interests and present a broad and dynamic spectrum in their teaching activities. Listed below is the faculy membership of the Group in Biostatistics along with research interests, email addresses and home department. Professor Sandrine Dudoit serves as Chair of the Group. Faculty profiles are available for those faculty from the School of Public Health and from the Department of Statistics.
 
Name
Email
Department
Research
Nonparametric inference, asymptotic methods
Time series in biology
Stochastic processes, life tables
Nonparametrics, survival analysis
Applications of statistics to problems in genetics and molecular biology
Probability, statistics applied to health problems
Bioinformatics, distributional approximation
Survival analysis and missing data
Sampling and survival analysis, AIDS
Approximations, random vectors
Generalized linear mixed models and latent variable models
Applied statistics, stochastic problems in neurophysiology
Data analysis of epidemiologic problems
Applied statistics
Nonparametric statistical modeling
Computer and graphical methodology
Semi-parametric methods, survival analysis, computational biology
Email not available
Ecology, cancer, AIDS
Machine learning, classification and unmixing in remote sensing, network tomography, Minimum Description Length (MDL) principle and information theory, and computational neuroscience

Other faculty who play an important role in our teaching program:
Name
Email
Department
Research
Applied multivariate methods, time series
David Lein
Statistical computing
Deryk Van Brunt
Health informatics

Faculty at the San Francisco campus, Department of Epidemiology and Biostatistics, affiliated with the Group in Biostatistics at Berkeley:
Name
Research
Su-Chun Cheng
Survival analysis, design and analysis of clinical trials, collaborative research in cancer and AIDS
Statistical methods for clustered and longitudinal data; statistical methods in industrial hygiene
Tree-structured regression methods; longitudinal analysis; survival analysis; statistical methods in AIDS
Applications of statistics to problems in infectious disease epidemiology; nonparametric approaches to survival analysis