Emeritus Faculty


Daniel Bloch

Professor (Research) of Biomedical Data Science (BDS), Emeritus

Research Areas: 

  • Application of Statistics to Science (Biostatistics)
  • Application of Statistics to the Law
 

 


Bradley Efron

Max H. Stein Professor and Professor of Statistics and of Biomedical Data Science, Emeritus

Research Areas: 

  • Empirical Bayes
  • Bootstrap
  • Jackknife
  • Exponential Families
 

(650) 725-5877

brad@stat.stanford.edu


Phillip W. Lavori

Professor of Biomedical Data Science, Emeritus

Research Areas: 

  • Adaptive Clinical Trials
  • Contextual MultiArmed Bandit Theory Applied to Learning Health Care Systems
 

Richard A. Olshen 

Professor of Biomedical Data Science, Emeritus

Research Areas: 

  • Point and interval estimation regarding T cells and B cells of the adaptive human immune system
 

Alice S. Whittemore

Professor of Health Research and Policy (Epidemiology) and of Biomedical Data Science, Emerita Professor Emerita, Epidemiology and Population Health

Research Areas: 

  • Genetic epidemiology of cancers of the breast, ovary and prostate
 

DBDS on Diversity

We are committed to our historical and ongoing mission to use biomedical data science to improve human health. A cornerstone of this mission is diversity, reflected in embracing a breadth of complementary research interests, research styles, and a diverse and inclusive community. DBDS recognizes that we have significant work to do in shaping our future as we work towards achieving justice, equity, diversity and inclusion throughout our work and operations, our research and activities, and our professional relationships and partnerships.


Stanford's Land Acknowledgment Statement

Stanford sits on the ancestral land of the Muwekma Ohlone Tribe. This land was and continues to be of great importance to the Ohlone people. Consistent with our values of community and inclusion, we have a responsibility to acknowledge, honor, and make visible the University’s relationship to Native peoples.

This acknowledgment has been developed in collaboration with the Muwekma Ohlone Tribe.