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.
The Roan Lab studies how intracellular and extracellular factors in the tissue microenvironment can affect infection by HIV, mucosal immunity, and reproductive health. We have demonstrated that genital and rectal fibroblasts, amongst the most abundant cells of the mucosa, potently increase HIV infection of T cells through at least two distinct mechanisms: promoting viral entry, and altering the cellular state of T cells to render them more permissive to viral replication.
Dr. Ron is a Professor in the Department of Neurology at UCSF, and is a member of the Neuroscience Graduate Program. She is also the Endowed Chair in Cell Biology of Addiction in Neurology at UCSF, the Director for a P50 NIH-NIAAA Center Grant. She is a recipient of several NIH RO1 and DOD grant awards. In 2013, Dr. Ron received and NIH MERIT. She has served as an Associate Editor for the Journal of Neuroscience and is currently a reviewing editor for Addiction Biology, the Alcohol Journal, as well as a field editor for Alcoholism: Clinical and Experimental Research. Dr.
My research uses computational methods to study the dynamic interplay between disease progression, treatment regimen, and drug and biomarker response across relevant scales (molecule, cell, tissue, organ & whole body) to determine causal links underlying variability in (safety and efficacy) clinical outcomes. By integrating multi-scale, and multi-level clinical data, we aim to determine the right dose, schedule, and treatment duration of various therapies, potentially bringing novel, precise and personalized treatment options to patients with unmet need more quickly.
Marina is currently an Assistant Professor at the Bakar Computational Health Sciences Institute at UCSF. Prior to that she was the Lead Research Scientist in the Division of Systems Medicine at Stanford University and has worked as a Senior Research Scientist at Pfizer where she focused on developing Precision Medicine strategies in drug discovery. She completed her PhD in Biomedical Informatics at Stanford University, where her graduate work focused on predicting drug-disease relationships based on gene expression to identify novel therapeutic indications for known drugs.
Dr. Tlsty has over 25 years of experience in studying human cells and the earliest responses to injury. She has lead multi-disciplinary groups that address both the epithelial and stromal contributions to wound healing and malignancy. The model systems the Tlsty laboratory has developed and the applied translational insights obtained have great potential to contribute to clinical utility.
My laboratory focuses on understanding the genetic architecture of autism. We are working with genome-wide genetic data to identify additional susceptibility loci, the genetic mechanisms by which DNA variants influence autism risk, and the genetic and physiological pathways these risk loci implicate. We can use rich genetic datasets to ask questions about the role for copy number vs. SNP variation, rare vs. common variation, gene-sex interaction, gene-gene interaction, and gene-environment interaction.
