The School of Informatics and Computing Center for Bioinformatics Research Talk
Speaker: Xiaoqian Jiang, PhD, Department of Biomedical Informatics, UC San Diego
Where: Indiana Memorial Union (IMU), Oak Room
When: Thursday March 23, 2017 03:00 PM
Topic: Analyzing Sensitive and Distributed Biomedical Data while Respecting Privacy
Abstract: In biomedical research, it is important to share data to obtain sample sizes that are meaningful and potentially accelerate discoveries. This is necessary to expedite pattern recognition related to relatively rare events or conditions, such as complications from invasive procedures, adverse events associated with new medications, association of disease with a rare gene variant, and many others. Privacy has been a major hurdle in making use of data to conduct studies as inappropriate sharing of information might put patients' confidential personal information at risk. I will introduce several methods to mitigate the privacy risks in analyzing data in a distributed environment.
Shortbio: Xiaoqian Jiang is an assistant professor in the Department of Biomedical Informatics at the University of California San Diego. He received his PhD in Computer Science from Carnegie Mellon University. He is an associate editor of BMC Medical Informatics and Decision Making and serves as an editorial board member of Journal of American Medical Informatics Association. He works primarily in health data privacy and predictive models in biomedicine. Dr. Jiang is a recipient of NIH K99/R00 award and he won the distinguished paper award from American Medical Informatics Association Clinical Research Informatics (CRI) Summit in 2012 and 2013.