Bio


Suzanne Tamang is a Postdoctoral Scholar and National Library of Medicine Fellow at Stanford University, where she is part of the Center for Biomedical Informatics Research and a member of the Shah Lab. Her work focuses on the development and dissemination of methods to mine digital health data for health system improvement. At Stanford, she collaborates on projects with the Clinical Excellence Research Center, the Stanford Cancer Institute, Stats for Good, and with the Department of Clinical Epidemiology at Aarhaus University in Denmark.

Suzanne received a Ph.D. in Computer Science from the City University of New York. Her thesis was on unsupervised learning methods for modeling chronic diseases dynamics. As a graduate student, she received a NSF fellowship, the Earnest Malve Student Leadership Award, and was a Provost’s Digital Innovation Grant recipient. She has developed top ranking system submissions for NIST sponsored challenges on automated knowledge base population, and her research has been published at various health, medical and computer science conferences including ASCO, KDD, ICML, AAAI, NAACL, SIGIR, Academy Health and APHA.

Professional Education


  • Doctor of Philosophy, C.U.N.Y. Graduate School & Univ Center, Computer Science (2013)
  • Bachelor of Science, Brooklyn College, Biology

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