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
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.
He has published more than 160 papers on top data mining and medical
informatics venues. His papers have received over 3,700 citations so far. 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 the
vice chair of the KDD working group in AMIA.
Dr. Jiayu Zhou