VG Vinod Vydiswaran

VG Vinod Vydiswaran is an Assistant Professor in the Department of Learning Health Sciences at the University of Michigan Medical School. He holds a PhD from the University of Illinois at Urbana-Champaign and an MTech from the Indian Institute of Technology Bombay. His research focuses on medical and health informatics, particularly analyzing medical information in clinical notes and online portals. Key areas include information trustworthiness, text mining, natural language processing, and machine learning applications in healthcare.

Education:

• PhD, Computer Science, University of Illinois at Urbana-Champaign (2007-2012)
• MTech, Indian Institute of Technology Bombay (2002-2004)
• Bachelor of Engineering, Computer Engineering, Vishwakarma Institute of Technology, Pune (1998-2002)

Research Interests: His work spans information trustworthiness, medical NLP, health informatics, and machine learning. Current emphasis is on analyzing medical information exchange between clinicians and patients via electronic health records and online platforms. Recent trends in publications include health vocabulary mining from community forums, trust propagation frameworks, and scenario-based news analysis.

Awards:

• Best Paper Award at COMAD 2005
• Second Prize in KDD Cup 2003 (Task 2)
• Outstanding Teaching Assistant Award (2011)
• CS Graduate Ambassador (2010-2011)

Grants & Advising: Active in interdisciplinary collaborations involving health data mining. Taught SI 671 (Data Mining) in 2015. Served on program committees for AAAI, CIKM, AMIA, and others.

Labs & Teams: Part of the Foreseer group at the School of Information, focusing on health informatics applications. Collaborates with Medical School faculty and industry partners like Microsoft Research and Palo Alto Research Center.