CCEB Seminar- Xiaoqian Jiang, PhD

"Challenges and Methods in Biomedical Data Sharing and Analysis"Xiaoqian Jiang, PhD                                       Associate Professor (with Tenure)Health Science Department of Biomedical InformaticsUniversity of California San Diego   Sharing and analyzing large biomedical data requires tackling privacy and efficiency in a way to preserve the utility. My background in data privacy and in machine learning gives me a unique perspective for integrated solutions. Currently, I am an associate professor of the Department of Biomedical Informatics (DBMI) at UCSD. Before joining DBMI, I was a founding member of the Data Mining and Information System Laboratory at the University of Iowa, and later joined in the Data Privacy Laboratory at Carnegie Mellon as a PhD student, advised by Dr. Latanya Sweeney. During the last two years of my graduate study, I had the unique opportunity to be a visiting student at the Decentralized Information Group (DIG) of Computer Science and Artificial Intelligence Lab(CSAIL) at MIT. In my postdoctoral training at UCSD, I investigated on calibrating predictive models and developing data anonymization techniques (supported by a NLM K99 award). These experiences gave me a deeper way to think about applying machine learning in medical informatics to simultaneously address data privacy and efficiency issues. After joining DBMI faculty, I expanded my research areas to privacy preserving distributed data analysis and secure genome outsourcing. I received R00, R13, R21, R01, U01, OT3 awards as principal investigator as well as distinguished and best paper awards from AMIA Summit on Clinical ResearchInformatics (CRI) and Translational Bioinformatics (TBI) in 2012, 2013, and 2016. Regarding public services , I co-chaired the 2 nd IEEE Conference on Health Informatics, Imaging, and System Biology , served as the general chair of 2 nd International Workshop on Genome Privacy and Security (GenoPri) , and organized the iDASHgenome privacy workshop series , which were reported by GenomeWeb and Nature News . I also serve as the associate editor for BMC medical informatics and decision making, the guest lead editor for Cancer Informatics , and an editorial board member of Journal of the American Medical Informatics Association . For training , I have accumulated training experience by directing DBMI's internship program over 6 years (involved more than 80 students from 40+ institutions and published 30+ articles) and directly mentored more than 10 pre- and post-doctoral trainees. My unique experiences of constantly integrating these worlds gives me unusual insights to make significant contributions to the interdisciplinary research of data privacy in medicine.