Session Chair Profile

M.D., Ph.D., Professor, Laboratory Medicine and Medicine/Infectious Diseases, UCSF

Biography
Charles Chiu, M.D./Ph.D. is a Professor at UCSF, Director of the UCSF-Abbott Viral Diagnostics and Discovery Center (VDDC), and Associate Director of the UCSF Clinical Microbiology Laboratory. Chiu currently leads a translational research laboratory focused on clinical metagenomic sequencing assay development for infectious diseases and genomic investigation and surveillance of emerging pathogens, including the SARS-CoV-2 coronavirus. He also uses RNA-Seq transcriptome profiling to develop predictive models using machine learning for host response-based diagnosis of COVID-19 and other infections. Chiu’s work is supported by funding from the National Institutes of Health (NIH), Department of Defense, US Centers for Disease Control and Prevention (CDC), philanthropy, and the California Initiative to Advance Precision Medicine. He has authored more than 100 peer-reviewed publications (>20 on COVID-19), holds over 15 patents and patent applications, and serves on the scientific advisory board for Mammoth Biosciences, Danaher Dx, Biomesense, and Flightpath.


 Session Abstract – PMWC 2023 Silicon Valley


Track 4, January 25

Track Chair: TBA

  • How New Public-private Partnerships can Catalyze Transformative Health Breakthroughs
    Chair: Keith Yamamoto, UCSF
  • How New Public-private Partnerships can Catalyze Transformative Health Breakthroughs
  • Moving Sequencing into the Clinical Setting
    Chair: Charles Chiu, UCSF
    - Charlotte Hobbs, Rady Children’s Hospital
    - Euan Ashley, Stanford University
    - Sivan Bercovici, Karius
    - Heike Sichtig, Foundation Medicne
  • Evolving Sequencing Applications
    Chair: Cindy Lawley, Olink
  • Single-cell, Spatial, and in Situ Technologies
    Chair: Dina Finan, 10x Genomics
  • Spatial Single-Cell Multi-Omics
    Chair: TBA, NanoString
  • Perturb-seq for Genome-wide Single Cell RNA Sequencing
    Chair: TBA, Ultima
  • Combining WGS with a AI-based Tumor Enrichment Method
  • Multi-omics Approaches Supporting Clinical Translation

 Session Abstract – PMWC 2023 Silicon Valley


Track 3, January 27

Track Chairs:
Sharon Terry, Genetic Alliance & Alice Rathjen

  • Learnings and Advancements of Population Studies
    Chair: Gonçalo Abecasis, Regeneron
    - Slavé Petrovski, AstraZeneca
  • Precision Medicine in Understudied Populations
    Building Future Precision Care in Qatar
    Chair: Khalid Fakhro, Sidra Medicine
    - Ziyad M. Hijazi, Sidra Medicine
    - Edison T. Liu, The Jackson Labs
  • Challenges and Opportunities for National Precision Medicine Initiatives
    Chair: Alessandro Ricommbeni, Microsoft UK
    - Catalina Lopez-Correa, Genome Canada
    - Khalid Fakhro, Sidra Medicine
  • Framework to Improve the Translation of Genomics into the Clinic
    Chair: Kathleen Barnes, Tempus Labs
    - Carlos Bustamante, Galatea Bio
  • Standardization And Harmonization Of REA Data Collection And Use In Clinical Genetics And Precision Health Research
    - Alice Popejoy, UC Davis Health
  • Identifying Relationships Between Disparate Data Sets to Monitor and Control Pathogen Outbreak
    Chair: Charles Chiu, UCSF
    - Amy Kirby, CDC
  • Increasing Diversity in Population Studies
    - Manual Rivas - Global Biobank Engine, Stanford Rivas Lab

 Session Abstract – PMWC 2023 Silicon Valley

Track 3 - January 27 2.30 P.M.-3.00 P.M.


New efforts that are currently underway are attempting to leverage waste water surveillance data to monitor status and predict near term direction of pathogen outbreaks via linking it to patient data based on hospital observations. The overall goal is to identify potential pathogens, the related infection status in the population, and to possibly even predict resurgence of a previously identified pathogen via comparison of sequencing data from hundreds of patients to pathogen detection in a broad sampling of waste water across a given area. This panel which includes public health officers, epidemiologists, and research scientists will focus their debate of this timely subject on what promise and predictive value this approach may hold.