Reza Abbasi-Asl
Assistant Professor, Neurology
Core
Research summary: Multi-modal data integration and pattern discovery in brain through interpretable machine learning
Assistant Professor, Neurology
Core
Research summary: Multi-modal data integration and pattern discovery in brain through interpretable machine learning
Professor, Bioengineering & Therapeutic Sciences
Core
Research summary: Deciphering the role of gene regulatory sequences in human biology and disease
Professor, Pharmaceutical Chemistry
Core
Research summary: Systems pharmacology and quantitative cell biology for drug discovery in cancer, intestinal and neurodegenerative diseases
Core
Research summary: The Andrews Lab focuses on determining the causal pathways that underlie the development of Alzheimer’s disease and related dementias (ADRD) by applying statistical genetic and genetic epidemiological approaches to large genetic & phenotypic datasets.
Professor,Microbiology & Immunology, & Chair, UCSF Bakar ImmunoX Initiative.
Affiliate
Research summary: RNA Regulation of Immunity
Assistant Professor, Cardiology
Core
Research summary: Developing computational methods for precision cardiovascular phenotyping
Professor, Neurology
Core
Research summary: Knowledge representation, knowledge graphs and explainable AI for multi-modal data integration.
Professor, UC Berkeley; Adjunct Professor
Affiliate
Research summary: Phenotypic and clinical impacts of human genome variation, Regulation by alternative splicing, protein function prediction
Professor, Pediatrics, and Institute Director, Baker Computational Health Sciences Institute, Chief Data Scientist, University of California Health
Core
Research summary: In memoriam: https://chancellor.ucsf.edu/news/remembering-atul-butte-md-phd
Bioengineering & Therapeutic Sciences
Core
Research summary: My lab studies how DNA is translated into life and how genetic mutations can lead to disease using cutting-edge computational and experimental techniques.
Professor, Bioengineering & Therapeutic Sciences
Core
Research summary: Using the tools of computer science and statistics to address problems in evolution, genetics, and biomedicine
Core
Research summary: Leveraging AI and computer vision to next-generation digital pathology to elucidate new prostate cancer biomarkers
Professor, Laboratory Medicine, Laboratory Medicine
Affiliate
Research summary: Viral pathogen discovery and characterization, computational algorithms for metagenomics analysis, and the development and validation of next-generation sequencing-based clinical diagnostics for infectious diseases
Assistant Professor, Cardiovascular Research Institute
Affiliate
Research summary: Physics of complex biological systems, artificial intelligence, emergent phenomena in cells and (cardiac) tissues, self-organization, biomechanics and electrophysiology.
Professor, Gladstone Institute of Cardiovascular Disease
Affiliate
Research summary: Therapeutic eding and modeling genetic disease in iPSC-derived neurons and cardiomyocytes
ryan.corces@gladstone.ucsf.edu
Assistant Professor, Gladstone Institutes
Core
Research summary: Functional epigenomics to decipher the gene regulatory underpinnings of neurodegeneration
Professor, Biochemistry & Biophysics
Core
Research summary: Infectious Disease, Genomics
Assistant Professor, Medicine
Core
Research summary: My lab studies states of the human immune system across disease contexts using single-cell methods and data integration, including CyTOF and single-cell sequencing.
Assistant Professor, Urology
Core
Research summary: Synthetic biology, functional genomics and cancer biology
Core Investigator, Arc Institute; Associate Professor, Biochemistry & Biophysics
Core
Research summary: Research at the intersection of AI and biology to reveal mechanistic insights into how gene expression is regulated at the post-transcriptional level, and how pathological RNA regulation leads of human diseases
Core
Research summary: We develop computational methods and construct high-resolution single-cell and spatial maps of human tissues and organoids across development, disease and experimental perturbations.
Professor
Core
Research summary: Human population genomics, computational and statistical inference, and analysis of genome resequencing data.
Associate Professor, Epidemiology & Biostatistics
Affiliate
Research summary: Developing and applying methods to understand the genetics of complex human diseases
Associate Professor, Neurology
Core
Research summary: Analysis of the extremely polymorphic human leukocyte antigen (HLA) and killer immunoglobulin-like receptor (KIR) immunogenetics systems
Core
Research summary: The Hong Lab works end-to-end through development, validation, and evaluation to bring computational tools to the cancer clinic.
Assistant Professor, Hematology & Oncology
Core
Research summary: Cancer genomics, cancer disparities, prostate cancer, cellular immortality/mechanisms and genomics of telomere maintenance, cancer computational biology
Professor, Microbiology & Immunology
Affiliate
Research summary: Transcription circuits, their evolution, and how they function in microbial pathogenesis
Professor, Biochemistry & Biophysics
Core
Research summary: Protein homeostasis in normal & disease states of human cells, in particular neurodegeneration
Professor, Bioengineering & Therapeutic Sciences
Core
Research summary: Computational biology, prediction and design of protein interactions and networks, synthetic biology
Professor, Cellular & Molecular Pharmacology
Affiliate
Research summary: Functional Insights from Genetic and Physical Interaction Maps
Professor, Biochemistry & Biophysics
Core
Research summary: Bioinformatics, genome sequence analysis, gene regulation
*DEI/Mentorship Training Verified 2022
Assistant Professor, Neurology
Core
Research summary: Large-scale analysis of disease genomes by integrating multi-omics data, evolutionary insights, electronic health records, as well as digitized clinical traits from imaging and wearable sensor readouts
Assistant Professor, Neurological Surgery
Affiliate
Research summary: The Liu Lab develops and applies functional genomic approaches to discover novel therapeutic targets and understand treatment resistance pathways in cancer, with particular interest in brain tumors.
Associate Professor, Gastroenterology
Affiliate
Research summary: Our group studies the human microbiome and its capacity to predict, prevent and treat chronic inflammatory disease.
Professor, Radiology
Core
Research summary: My research interest in applying computer vision and artificial intelligence across the medical imaging lifecycle, from acquisition, quantitative analysis to disease characterization in large datasets.
Associate Professor, Microbiology & Immunology
Affiliate
Research summary: Quantitative biology research lab that uses systematic high-throughput and synthetic approaches to conquer fundamental problems in understanding gene function in health and disease.
Medicine-SFGH
Core
Research summary: The Müller lab at the EPPIcenter aims to quantify transmission dynamics of bacterial and viral infectious diseases from pathogen genome sequence data, with the ultimate goal of informing public health interventions to reduce disease burden
Affiliate
Research summary: Our group studies the molecular mechanisms of chromosomes folding and how they enable the emergence of genomic functions - with a focus on transcriptional regulation during stem cell differentiation.
Core
Research summary: Dr. Nowakowski seeks to uncover genetic control mechanisms underlying neurodevelopmental events and tissue organization in the cerebral cortex, and highlight and cellular patterns of selective vulnerability in neurodevelopmental and neuropsychiatric disorders, including Autism Spectrum Disorders and Schizophrenia.
Assistant Professor, Epidemiology & Biostatistics, Diabetes Center
Core
Research summary: Computational methods development at the intersection of information theory, genomics and machine learning, with a focus on single cell biology and alternative splicing
Associate Professor, Neurological Surgery
Affiliate
Research summary: We develop and apply novel experimental and computational strategies for studying the cellular and molecular organization of human brain samples in health and disease, with an emphasis on adult malignant gliomas
Assistant Professor, Neurology
Core
Research summary: Neuroimaging and neurophysiology, cognitive neuroscience, aging and dementia, loneliness and emotions, psychedelics, digital intervention
karin.pelka@gladstone.ucsf.edu
Gladstone Institute
Affiliate
Research summary: By using a combination of large-scale genomic analyses and tissue imaging approaches, the Pelka Lab studies the cellular interactions that shape immune responses in human tumors, focusing on how these responses are regulated.
Professor, Epi & Biostats, Gladstone Institutes
Core
Research summary: Comparative genomics, metagenomics, evolution, machine-learning, multivariate statistics
Assistant Professor, Urology
Core
Research summary: My lab studies identifies genomic and epigenomic mechanisms of resistance to targeted cancer therapy using clinical sequencing data from patient tumors. Projects include novel machine learning methods, developing liquid biomarkers, spatial and single cell analysis, and functional studies.
Assistant Professor, Gladstone Institutes
Core
Research summary: Development of cutting-edge molecular technologies to better understand how genomes are structured, regulated, and interpreted in health and disease
Professor and Director, Institute for Human Genetics
Affiliate
Research summary: Genetic epidemiology of complex diseases in ethnic populations
Affiliate
Research summary: We strive to learn causal effects from electronic health records, and design AI tools to improve diagnosis and treatment decisions in clinical practice, particularly in inflammatory bowel disease.
Professor, Bioengineering & Therapeutic Sciences
Core
Research summary: Computation grounded in the laws of physics and evolution to study the structure and function of proteins
Professor, Epidemiology & Biostatistics
Affiliate
Research summary: Statistical and computational methods in genomics with a current emphasis on 3D chromatin conformation.
Professor, Institute for Human Genetics
Affiliate
Research summary: Search for genetic variation underlying complex human diseases of immunity and metabolism
Affiliate
Research summary: We study the genetic, transcriptional, and epigenetic regulation of tissue and organ morphogenesis during development and evolution, with a special focus on craniofacial traits
Associate Professor, Neurology
Core
Research summary: Investigate genome function using functional genomics, iPSC models, and CRISPR screens.
Professor, Pharmaceutical Chemistry
Core
Research summary: Molecular docking, structure-based inhibitor discovery, G Protein Coupled Receptors, colloidal aggregation and phospholipidosis in drug discovery and formulation, drug discovery for analgesia and psychiatric disorders.
Assistant Professor, Department of Anatomy and Bakar Aging Research Institute
Core
Research summary: Decoding gene regulation during vertebrate diapause, aging and disease
Professor, Pediatrics; Acting Director, Bakar Computational Health Sciences Institute
Core
Research summary: Develop integrative computational methods and apply these approaches in the context of disease diagnostics and therapeutics
Assistant Professor, Otolaryngology, Otolaryngology
Core
Research summary: Systems approaches and single-cell data to understand how the immune system mounts responses, with a specific emphasis in cancer immunology
Assistant Professor, DoC-IT, Neurological Surgery
Core
Research summary: Dr. Sushil’s team is engaged in the development, application, and validation of multimodal foundation models for electronic health record data to solve clinically relevant and impactful problems within medical informatics.
catherine.tcheandjieu@gladstone.ucsf.edu
Assistant Professor, Gladstone Institutes
Core
Research summary: Genetic architecture of diseases in diverse populations
https://gladstone.org/people/catherine-tcheandjieu-gueliatcha
christina.theodoris@gladstone.ucsf.edu
Core
Research summary: Our lab develops deep learning models leveraging large-scale biological data to gain a fundamental understanding of gene network dynamics. We integrate AI with experimental genomics in a closed-loop system to accelerate discoveries of key network regulators and network-correcting therapies for human disease.
Associate Adjunct Professor, Epidemiology & Biostatistics
Core
Research summary: Integrative genomic studies of complex disease in diverse populations
Professor, Microbiology & Immunology
Affiliate
Research summary: Impact of the human gut microbiome on pharmacology
Assistant Professor
Core
Research summary: Informatics methods for digital diagnostics and therapeutics using data from smartphones, wearables, and other consumer devices
Professor, Pharmaceutical Chemistry
Affiliate
Research summary: Drug discovery, cancer drug resistance, neurodegeneration, high-throughput imaging, machine learning, organoid models of disease.
Assistant Professor, Neurology, Gladstone Institutes
Core
Research summary: Understanding neuroimmune contributions to brain aging and neurodegenerative disease using single-cell and spatial genomics approaches.
Assistant Professor, Epidemiology & Biostatistics
Core
Research summary: Interaction between genetics and environment affect human variation at the level of molecular phenotypes
Professor, Medicine, Internal Medicine
Core
Research summary: Application of Population Genetics to the Study of Complex Traits in Humans