Dr. Heidi Hanson discusses a National Cancer Institute (NCI) and Department of Energy collaboration to develop computational modeling and artificial intelligence approaches to advance cancer research. This work is related to the Blue-Ribbon Panel recommendation to build a national cancer data ecosystem.
Watch the Recording
Presenter
Heidi Hanson
Dr. Heidi Hanson is Group Lead of the Biostatistics and Multiscale Systems Modeling Group in the Computing and Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL). She holds adjunct appointments in the Department of Population Health Sciences, Sociology, and Surgery at the University of Utah. Her training and experience is in the fields of demography, statistics, familial analyses, biomedical informatics, -omics, and life course epidemiology allow her to bring a unique set of expertise to building tools to identify populations at high risk for developing pancreatic cancer. She is currently the technical lead on DOE-National Cancer Institute MOSSAIC, focused on advancing computing, predictive machine learning/deep learning (ML/DL) models, and large-scale computational simulations for NCI-supported cancer research.