Current projects have been categorized as:

Censored Data & Causal Inference

Unified Data Adaptive Learning Methodology

Computational Biology

Multiple Hypothesis Testing

Visit those pages for more detail about ongoing projects, including the collaborations highlighted below:

With the Professor James Robins of Harvard University:
Written a book on a general methodology to construct locally efficient or high-quality estimators of causal and non-causal parameters in longitudinal studies, with both informative censoring and treatment assignment.

With the biotech company Chiron:
Examining the relationships among gene expression in cancer patients, cancer, and other clinical outcomes.

With Biologist Michael Eisen at Lawrence Berkeley National Laboratory:
Collaborating on the analysis of databases containing gene expression data on an organism, the complete genome of the organism, and biological knowledge on each of the genes; investigating methods to analyze such three-fold databases with the purpose of finding new binding sites and corresponding transcription factors.

With UC San Francisco’s Cancer Center, Lawrence Livermore National Laboratory, and Biostatistician Dan Moore of UCSF:
Understanding the relationships among gene expression, breast cancer, and other clinical outcomes.

With Epidemiologist Ira Tager:
Examining the causal effect of air pollution on asthma in children, based on a large study (the first of its kind) led by Ira Tager in Fresno County.

With Epidemiologists Ira Tager and Bill Satariano:
Investigating the causal effect of activity on death and other health outcomes in an elderly cohort.

With Epidemiologist John Colford:
Researching how the quality of drinking water affects health in western and third-world countries.

With Epidemiologist Pat Buffler:
Studying the genetic and environmental factors possibly causing childhood leukemia.

With Mark Segal:
U.C. San Francisco; Studying protease and reverse transcriptase positions of the HIV-1 virus.

With Steve Deeks (Positive Health Program, University of California, San Francisco), Jeff Martin (Positive Health Program, University of California, San Francisco), Art Reingold (Epidemiology, University of California, Berkeley); Study on the Consequences of the Protease Inhibitor Era (SCOPE).

With Jefferey Fessel (Kaiser Permanente, California), Robert Shafer (Div. Infectious Diseases, Stanford University Medical Center), and Art Reingold (Epidemiology, University of California, Berkeley); Interpretation of HIV genotype data.

With Mélanie Courtine, Karine Clément , and Jean-Daniel Zucker (LIM/BIO, Université Paris Nord & Université Paris 6 et Service de Médecine et Nutrition) ; Genotype/Phenotype Associations.