Machine Learning and Design Thinking for Personalized Healthcare
Personalized healthcare and precision medicine are introducing novel opportunities to leverage data about an individual to deliver personalized health profiles and wellness profiles to an individual. This data includes
electronic medical records, genomics, lifestyle, and environmental data. However, there are fundamental challenges from collecting such data at an individual level to integrating it to developing machine learning algorithms and tools to deliver on the promise and outcome of personalized healthcare. Our research program is focused on these challenges. I will present some of our research on developing personalized disease risk profiles from electronic medical records (EMR) and bringing together the spectrum of EMR to lifestyle data to guide a patient-centered population health management framework.
Come join us and register here.
Nitesh Chawla is the Frank M. Freimann Professor of Computer Science and Engineering, and Director of the research center on network and data sciences (iCeNSA) at the University of Notre Dame. He started his tenure-track career at Notre Dame in 2007, and quickly advanced from assistant professor to endowed full professor position in 2015. He has brought in over $19M dollars in research funding to the university since 2007, and has published over 180 papers. His research program has received a number of best paper awards and also frequent press coverage. He is the recipient of the IEEE CIS Outstanding Early Career Award; the IBM Watson Faculty Award, the IBM Big Data and Analytics Faculty Award, National Academy of Engineering New Faculty Fellowship, and Outstanding Dissertation Award. In recognition of the societal and community driven impact of his research, he was recognized with the Rodney Ganey Award and Michiana 40 Under 40. He is a two-time recipient of Outstanding Teaching Award at Notre Dame. He is a frequent speaker at national and international venues. He is a Fellow of the Reilly Center for Science, Technology, and Values; Fellow of the Institute of Asia and Asian Studies; and Fellow of the Kroc Institute for International Peace Studies Notre Dame. He founder of the data science company, Aunalytics, Inc.
Our work is centered around a series of Focus Areas that we believe are the future of science and technology.
We’re continually developing new technologies, many of which are available for Commercialization.
PARC scientists and staffers are active members and contributors to the science and technology communities.