Muge Capan

Muge Capan

She/Her
Pronunciation: moo-geh
Assistant Professor, Mechanical and Industrial Engineering

Data science, statistical analysis, and decision modeling in health care to develop smart and connected clinical decision support systems. Examples include development and evaluation of stochastic models to identify optimal treatment policies, and utilizing clinicians’ perceptions in clinical risk display decisions.

Education

  • PhD, Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, 2014
  • MSc, Industrial Engineering, Technical University of Berlin, Berlin, Germany, 2008
  • BSc, Industrial Engineering, Technical University of Berlin, Berlin, Germany, 2005

Awards and distinctions

  • NSF Smart and Connected Health (SCH) INT Collaborative Research Award, Principal Investigator, 2015-2018
  • National Library of Medicine of the National Institutes of Health (NIH) R01 Award, Co-Investigator, 2016-2020
  • ACCEL Clinical and Translational Research (CTR) Pilot Grant, Principal Investigator, 2015-2017
  • ACCEL Clinical Translational Research (CTR) Shovel Ready Pilot Grant, Co-Investigator, 2017
  • NIGMS Delaware INBRE Award, Collaborator, 2014-2019
  • INFORMS Women in ORMS Family Care Award, 2019