Open Data Can Power AI-based Approaches to Tackle Biomedical Challenges
When: Dec. 10th, 2021 12:00 pm - 1:00 pm
To Know
Organizer:
Data Sharing and Reuse Seminar Series
About this Class
About the Seminar
Dr. Greene plans to discuss the richness of open data resources in biology and how they can support machine learning approaches and be enriched by such methods. He’ll also discuss how we might think about data sharing to maximize reuse and the value of our public investment.
About the Speaker
Dr. Casey Greene, Ph.D. is a Professor in the Department of
Biochemistry and Molecular Genetics(link is external) and the Director of the
Center for Health AI(link is external) in the
University of Colorado School of Medicine(link is external) and the Interim Director of the
Colorado Center for Personalized Medicine(link is external). His lab develops machine learning methods that integrate distinct large-scale datasets to extract the rich and intrinsic information embedded in such integrated data. This approach reveals underlying principles of an organism’s genetics, its environment, and its response to that environment. He established the
Research Parasite Award(link is external), which is given annually to exemplars of data reuse and accompanied by a cash prize.
The seminar is open to the public and registration is required each month.
