David V. Conti, Ph.D.
Genetic Epidemiology and Statistical Genetics
Division of Biostatistics
Department of Preventive Medicine
University of Southern California
 
Education
  1. 1996 B.S., in Earth Systems, Stanford University
  2. 1999 M.S., in Earth Systems, Stanford University
  3. 2003 Ph.D., in Genetic Epidemiology, Case Western Reserve University
  4.  
 
 
 
 
Research
Research Topics
1. Statistical methods in genetic epidemiology
2. Candidate gene and pathway analysis
3. Hierarchical models
4. Epidemiological methods
 
Research Overview
My research is aimed at elucidating the genetic contribution of complex diseases from population-based samples, and is comprised of both applied genetic epidemiologic studies and development of statistical methods.
 
Presently, my applied work focuses on understanding the genetic contribution of candidate genes within the dopamine and serotonin pathways and their role in smoking initiation, progression, and cessation.
 
My research in statistical methodology concentrates on the use of hierarchical modeling and Bayes model averaging as a general framework for the analysis of multiple genetic polymorphisms in genes involved in numerous pathways impacting disease.
 
Associated Students and Post Docs
  1. Dalin Li, Ph.D.
  2. Heather Volk, Ph.D.
  3. James Baurley
  4. Danny Lee
  5. Jing Hua Liu
 
Ongoing Projects/Grants (Under construction)
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