Janet Sinsheimer*

Janet S Sinsheimer

Professor, Human Genetics, University of California Los Angeles

Professor, Computational Medicine, University of California Los Angeles

(310) 825-8002

5-357C Gonda / 5213 LSB
Los Angeles, CA 90095 Gonda Center
Los Angeles, CA 90095

UC Profile
https://compmed.ucla.edu/member/sinsheimer-phd

Affiliations

Member, Bioinformatics GPB Home Area, CTSI, Genetics & Genomics GPB Home Area, JCCC Healthy and At-Risk Populations Program Area, JCCC Molecular Epidemiology Program Area

Research Interests

Dr. Sinsheimer’s research is focused on developing mathematical models of evolution and genetics. Her research program involves the development and application of statistical methodology for mapping complex trait and disease genes. Most recently, her group have been working on statistical methods for detecting disease genes acting through maternal-fetal genotype incompatibility and models to disentangle maternal genetic effects from environment. She has also developed methods for realistic inference of evolutionary relationships in a Bayesian context and applied these methods to HIV evolution. Her research in HIV evolution has been geared towards understanding the mechanisms by which HIV evades the immune system.

Biography

Janet Sinsheimer is a Professor in the Departments of Human Genetics, Computational Medicine  and Biostatistics at UCLA. She has a PhD in Biomathematics (UCLA), an MA in Biochemistry (Brandeis) and an ScB in Chemistry (Brown U). Dr. Sinsheimer’s research is focused on developing mathematical models for the analysis of genomic and genetic data.  She has also developed methods for realistic inference of evolutionary relationships. Most recently, her group has been working on novel statistical methods for detecting disease and trait genes via a variance component paradigm and on methods of rapid inference with big genetic and genomic data sets.

Publications

A selected list of publications: