Speaker Profile

Ph.D., National Wastewater Surveillance System Program Lead, CDC

Biography
Dr. Amy Kirby is an Environmental Microbiologist in the Waterborne Disease Prevention Branch at the Centers for Disease Control and Prevention (CDC). She has a Bachelor of Science in Agriculture from the University of Georgia, a PhD in Microbiology from the University of Buffalo, SUNY, and a Master of Public Health in Epidemiology from Emory University. At CDC, Dr. Kirby is interested in leveraging environmental microbiology methods to measure pathogens, antibiotic resistance genes, and other health indicators in natural and man-made water systems.


 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.