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CSE Colloquium 2012-2013 Nitesh Chawla

Title: Connecting the dots for prospective and personalized healthcare


Nitesh Chawla

Frank Freimann Collegiate Chair, Associate Professor of CSE

Director of iCeNSA and DIAL 

Notre Dame 


Proactive personalized medicine is expected to bring fundamental changes, offering recommendations of lifestyle adjustments and treatments to avoid diseases a patient has high risk for developing in the future.  I will present our work called CARE (Collaborative Assessment and Recommendation

Engine) that not only engages and empowers the physicians with a comprehensive view of a patient but also provides a person with the tools to actively engage in his/her own health, resulting in an improved health value. CARE can facilitate a profound and potentially disruptive change in medical care: allowing the patient to be an active participant in shaping his or her future health. I will also present our work on multi-relational representation of disease networks using both genetic knowledge, based on previously discovered gene-disease associations and phenotypic data from patient histories.


Nitesh Chawla, PhD is a the Frank Freimann Collegiate Chair and Associate Professor of Computer Science and Engineering, Director of the Interdisciplinary Center for Network Science and Applications (iCeNSA) and Data Inference Analysis and Learning Lab (DIAL). His research is focused on machine learning, data mining, and network science. He is at the frontier of interdisciplinary applications with innovative work in healthcare informatics, social networks, analytics, and climate/ environmental sciences. He is the recipient of multiple awards for research and teaching innovation including outstanding teacher awards

(2008 and 2011), National Academy of Engineers New Faculty Fellowship, and number of best paper awards and nominations. He is also the recipient of IBM Watson Faculty Award. He has published over 140 papers and serves as PI/Co-PI on over $9Million Dollars in research funding. He is the chair of the IEEE CIS Data Mining Technical Committee. He also serves on a number of editorial boards and organizing/program committees of conferences.



Host: Dr. Pang-Ning Tan