Development and application of statistical methods for analyzing high throughput omics data.
- NIH/NIAAA R01 AA021131 (9/13 - 8/18, Role: PI) Genome-wide Identification of miRNAs Associated with Alcoholism Endophenotypes.
- NIH/NIDDK R01 DK100340 (7/14-6/18, Role: multi-PI with D. Dabelea, I. Yang) Epigenetic Marks of in utero Exposure to Gestational Diabetes
- NIH/NHLBI R21 HL140376 (9/17-8/19, Role: multi-PI with R. Bowler, F. Banaei-Kashani) Omics Data Integration to Identify Disease Pathways in COPD
- Statistical methods in genomics
- Statistical programming in R
- Mathematical statistics
- BIOS 7731: Statistical Methods in Genomics
- BIOS 7759: Advanced Mathematical Statistics I
- PhD in Statistics, University of California Berkeley, 2003
- MA in Statistics, University of California Berkeley, 1999
- BS in Applied Mathematics, University of California Los Angeles, 1997
What makes you passionate about or interested in biostatistics?
I have been fortunate to work with amazing researchers in many different areas (pulmonologists, neurobehavioral scientists, evolutionary biologists, developmental biologists, epidemiologists, computer scientists, etc.). I’m constantly learning from them, and I appreciate being involved in all stages of the data ‘life cycle’ (study design, data generation, quality control, pre-processing, analysis, interpretation, archiving and dissemination).
Personal Interests & Hobbies
Traveling, running, photo albums