Faculty in the Division of Biostatistics carry out research on statistical methods, collaborate with investigators in other UCSF departments in the areas of study design and data analysis, teach biostatistics courses and provide consultation services through the Clinical and Translational Sciences Institute.  Through our grant development assistance program we also provide free consultation on the development and writing of grant applications that will substantively involve biostatistics faculty. 


Faculty in the Division of Biostatistics have wide-ranging methodological expertise and collaborate in a variety of subject matter areas.  

Methodological areas of expertise include: 

  • Longitudinal data analysis 
  • Survival analysis 
  • Statistical genetics 
  • Permutation tests 
  • Clinical trial design and analysis 
  • Medical image reconstruction and analysis 
  • Correlated data models 
  • Bayesian statistics 
  • Spatial statistics 
  • Statistical computing 
  • Epidemiologic methods   

Areas of collaboration include: 

  • Genetics 
  • Cancer 
  • HIV 
  • Liver disease 
  • Women’s health 
  • Infectious diseases 
  • Osteoarthritis 
  • Medical imaging 
  • Complex genetic traits 
  • Heart disease 
  • Neurology



Biostatistical Methods I - V (Biostat 200, 208, 209, 210 and 226) and Biostat 212 are part of the Training in Clinical Research (TICR) Program. Biostat 183, 187 and 192 may be taken for credit by any matriculated UCSF student; auditing by staff is permitted.

Summer Quarter

Biostat 212     Introduction to Statistical Computing in Clinical Research

Fall Quarter

Biostat 200     Biostatistical Methods in Clinical Research I
Biostat 210     Biostatistical Methods IV

Winter Quarter

Biostat 187     Introduction to Statistical Theory & Practice
Biostat 208     Biostatistical Methods II
                         Course text website
Biostat 226     Biostatistical Methods V

Spring Quarter

Biostat 192     Introduction to Linear Models
Biostat 209     Biostatistical Methods III
                         Course text website
Biostat 215     Advanced Approaches to the Analysis of Observational Data
Biostat 219     Statistical methods in genetic epidemiology

Independent Study

Biostat 250     Research
Biostat 297     Special Study

Primary Faculty

Isabel Elaine Allen, PhD Professor
Peter Bacchetti, PhD Professor
David Glidden, PhD Professor
Joan Hilton, DSc, MPH Professor
Thomas Hoffmann, PhD Assistant Professor
Chiung-Yu Huang, PhD Professor
Mi-Ok Kim, PhD Professor
John Kornak, PhD Professor
Iryna Lobach, PhD Assistant Professor
Charles McCulloch, PhD Professor and Division Head
John Neuhaus, PhD Professor
Neil Risch, PhD Professor
Eric Vittinghoff, PhD Professor
Jeff Wall, PhD, MS Associate Professor
Jimmie Ye, PhD Assistant Professor


Secondary Faculty

John Boscardin, PhD Professor
Jing Cheng, PhD Associate Professor
Kevin Delucchi, PhD Professor
Ann Lazar, PhD, MS Assistant Professor
Annette Molinaro, PhD Associate Professor
Steven Paul, PhD Principal Statistician
Li Zhang, PhD Associate Professor


Affiliate Faculty

Nick Jewell, PhD Professor
Barry Taylor, PhD Assistant Professor


Retired Faculty

Steve Shiboski, PhD Professor (Recalled)