Steven Brenner, PhD
Adjunct Professor of Bioengineering and Therapeutic Sciences
Department of Molecular & Cell Biology, UC Berkeley
Graduate Program Membership: BMI
Dr. Brenner is a computational biologist with a variety of interests spanning from cell biology to human genetics. Areas of current interest include gene regulation by alternative splicing and nonsense-mediated mRNA decay; prediction of protein function using Bayesian phylogenetics; medical and environmental metagenomis; structural genomics and protein complexes; and application of next generation sequencing in the clinical genetic setting.
Aaron Diaz, PhD
Assistant Professor of Neurological Surgery
Graduate Program Membership: BMS
Dr. Diaz studies the role of neurodevelopmental programs in malignant gliomas, using computational and systems approaches. By contrasting genetic and epigenetic signatures between the developing human cortex and human brain tumors, Dr. Diaz is elucidating developmental pathways that are aberrantly activated during oncogenesis, promoting tumor growth and self-renewal. The Diaz lab is currently using high-throughput, single-cell assays, coupled with modern techniques from machine learning and data science, to identify therapeutic targets within these critical pathways.
Ryan Hernandez, PhD
Associate Professor of Bioengineering and Therapeutic Sciences
Graduate Program Membership: BMS, PSPG, BioE, BMI
Hernandez Lab research focuses on three main areas: 1) Basic population genomics: using current patterns of human genetic variation from whole genome sequencing to understand the evolutionary history of human populations. 2) Disease susceptibility in complex populations: leverage evolutionary signals in patterns of genetic variation to uncover the meaningful associations with phenotypic variation. 3) Host-pathogen interactions: develop tools to leverage patterns of genetic diversity within populations and divergence across phylogenies to learn more about the genetic targets of host-pathogen interactions.
Tom Hoffmann, PhD
Associate Professor of Epidemiology & Biostatistics
Graduate Program Membership: ETS
Dr. Hoffmann is interested in statistical design and analysis methods for the genetical basis of a wide variety of human diseases. He has been involved in a number of projects to identify and characterize the genetic basis of common diseases, including the Kaiser Permanente Research Program on Genes, Environment and Health. He helped design and analyze the genotyping arrays used in that project, and has focused on analysis of cardiovascular outcomes including hyperlipidemia and hypertension, and has developing interest in age-related hearing loss. He has also developed new methods for analysis of NGS data.
Katherine Pollard, PhD
Senior Investigator, Gladstone Institutes
Professor of Epidemiology & Biostatistics
Graduate Program Membership: BMI, ETS
Dr. Pollard develops statistical and computational methods for the analysis of genomic datasets. Her research focuses on genome evolution, in particular identifying DNA sequences that differ significantly between or within species, and the sequences’ relationship to biomedical traits. Many of these sequences are non-coding, such as enhancers and RNA genes. The group aims to pinpoint specific DNA alterations in these sequences that are responsible for changes in gene expression. Current projects focus on two major areas: identifying the genetic basis for human-specific traits, such as our susceptibility to AIDS and atherosclerosis; and characterizing the human microbiome through metagenomic data.
Neil Risch, PhD
Lamond Family Foundation Distinguished Professor in Human Genetics
Professor of Epidemiology & Biostatistics
Graduate Program Membership: BMI, BMS, ETS, PSPG
Dr. Risch focuses on the development and application of statistical methods to address problems in human population genetics and genetic epidemiology. This has involved numerous projects using linkage analysis and positional cloning to identify novel disease genes, such as the genes causing hemochromatosis and torsion dystonia, as well as methodology for dissection of genetically complex traits including autism, hypertension, and multiple sclerosis. He has also spearheaded the approach of genome-wide association studies, the recent mainstay of human genetic analysis, and developed with investigators at Kaiser Permanente Northern California Division of Research a large genetic epidemiology research cohort on aging.
Stephan Sanders, BMBS, PhD
Assistant Professor, Department of Psychiatry
Graduate Program Membership: Neuroscience
Dr. Sanders is a geneticist and pediatrician who works on the genetics of childhood neurodevelopmental disorders, in particular Autism Spectrum Disorder (ASD). His lab specializes in bioinformatics, including microarray, exome sequencing, and whole-genome sequencing to identify genetic loci, map genomic architecture, and understand the sex bias seen in ASD. One major goal is to identify specific genes that contribute to these disorders, for example the sodium channel gene SCN2A is commonly mutated in ASD, as an entrée into the underlying biology.
Mark Segal, PhD
Professor of Epidemiology and Biostatistics
Director, Center for Bioinformatics and Molecular Biostatistics
Graduate Program Membership: BMI, PSPG, ETS
Dr. Segal focuses on the development and application of statistical methods to address problems in computational biology and genomics. He has devised methods for addressing several aspects of analyzing data deriving from high-throughput biotechnologies, straddling low-level (e.g., pre-processing) to high-level (e.g., linked survival phenotypes, regulatory module elicitation) approaches. He is currently engaged in developing and comparing methods for inferring 3D genome architecture utilizing data from chromatin conformation capture assays.
Dara Torgerson, PhD
Associate Professor, Department of Epidemiology & Biostatistics
Graduate Program Membership: BMI
Dr. Torgerson’s research is focused on integrative genomic and metabolomic studies of complex disease, including asthma and respiratory outcomes of preterm infants, and pharmacogenomics. Her group develops computational strategies for the analysis of multi-omics data in genetically structured and underrepresented populations in order to address clinically relevant hypotheses. She works in close partnership with community members, basic and clinical scientists to promote multi-disciplinary efforts in genomics and precision medicine.
Jeff Wall, PhD
Dr. Wall’s research spans a wide range of topics in evolutionary and human genetics, including models of speciation, inference of population history from sequence polymorphism data, and analyses of whole genome association study data in admixed populations. Recent studies have focused on the contribution of archaic hominid ancestry in human populations.
John Witte, PhD
Professor of Epidemiology and Biostatistics and of Urology
Co-Leader, Program in Cancer Genetics, Helen Diller Cancer Center
Graduate Program Membership: ETS, iPQB, PSPG
Dr. Witte’s research constitutes applied and methodologic genetic epidemiology, with the aim of deciphering the mechanisms underlying complex diseases. His applied work is primarily focused on prostate cancer, while much of his methodologic work is on association studies and hierarchical modeling. Dr. Witte initiated a series of prostate cancer genetic epidemiology studies, which have had numerous successes toward sorting out the genetic basis of this disease. In particular, using a combination of genome-wide scan, allelic imbalance, and association studies, Dr. Witte and colleagues have isolated distinct chromosomal regions that appear to harbor genes that cause prostate cancer.