Katie Pollard, PhD

Professor
Department of Epidemiology & Biostatistics
Institute for Human Genetics
Institute for Computational Health Sciences
Primary Thematic Area
Secondary Thematic Area
Research Summary
Statistical and Computational Methods for the Analysis of Massive Genomic Datasets
Mentorship Development

4/26/19    Sharpening your Mentoring Skills (SyMS) with Sharon Milgram (Mission Bay)    
4/30/20    Mental Health in a Pandemic: Q&A for Faculty    
6/10/20    Tools and Tips for Virtual Learning    
6/1/20    Preventing Workplace Harrassment (online course)
6/29/20    DEI 101
7/7/20    Precise Language
8/7/20    History of Racism
8/18/20    Debunking Common Myths and Misconceptions about Sexual Harrassment
9/24/20     Black, Brown, and Bruised

The Pollard lab develops statistical and computational methods for the analysis of massive biomedical datasets. Our research focuses on emerging technologies for genomics, mass spectrometry, and imaging. We specialize in evolutionary and comparative approaches, including machine-learning integration of diverse types of data and longitudinal models of dynamics in disease and development. Examples of current projects are massively parallel dissection of regulatory networks and decoding cryptic variation in the human microbiome.

Publications