Integrative Network Analytics for Insights Generation from Massive Healthcare Data

Speaker: Fei Wang
Affiliation: Cornell University

Abstract: The arrival of the Precision Medicine age brings tremendous opportunities to scientific discovery and quality improvement in medicine and healthcare. However, it also raises big challenges in dealing with large and massive healthcare data from heterogeneous sources. In this talk, I will present a computational framework called integrative network analytics to generate insights from complex healthcare data including Electronic Health Records (EHR), drug development data, genomic data, etc. I will also demonstrate how such framework can be used in computational drug discovery and personalized treatment recommendation.

Biography: Fei Wang is an Assistant Professor in Division of Health Informatics, Department of Healthcare Policy and Research, Cornell University. His major research interest is data analytics and its applications in health informatics. His papers have received over 3,700 citations so far with an H-index 33. He won best student paper for ICDM 2015, best research paper nomination for ICDM 2010, Marco Romani Best paper nomination in AMIA TBI 2014, and his paper was selected into the best paper finalist in SDM 2011 and 2015. Dr. Wang is an action editor of the journal Data Mining and Knowledge Discovery, an associate editor of Journal of Health Informatics Research and Smart Health, and an editorial board member of Pattern Recognition and International Journal of Big Data and Analytics in Healthcare. Dr. Wang is the vice chair of the KDD working group in AMIA.

For more information, contact Prof. Mihaela van der Schaar ()

Date(s) - Sep 08, 2016
2:00 pm - 3:30 pm

E-IV Tesla Room #53-125
420 Westwood Plaza - 5th Flr., Los Angeles CA 90095