Predictive Oncology: Decoding Genomic, Host, and Immune Determinants of Cancer Progression
To Know
Where:
Online
Organizer:
Infectious Agents and Cancer Epidemiology Research Series
Presented By:
Christina Curtis PhD (Stanford)
About this Class
The goals of the Infectious Agents and Cancer Epidemiology Research series are to: - Highlight emerging and cutting-edge research related to infection-associated cancers that could be applied to cancer epidemiology; - Share scientific knowledge about technologies and methods that may enhance and facilitate infection-associated cancer epidemiology research; and - Foster cross-disciplinary discussions on infectious agents and cancer epidemiology.
Name:
Christina Curtis, PhD, MSc
Title: RZ Cao Professor of Medicine, Genetics, and Biomedical Data Science
Organization: Stanford University
Biosketch:
Dr. Curtis leads a federally funded research laboratory focused on artificial intelligence, machine learning, computational modeling, and high-throughput molecular profiling and experimentation to develop new ways to prevent, diagnose, and treat cancer. Her research redefined the molecular map of breast cancer and led to new paradigms in understanding the origins of human cancers, as well as how they evolve and metastasize.