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HOME/People/Graduate Students/Doctoral Students/Erkin Otles

Erkin Otles

MD/PhD Student

Industrial & Operations Engineering

G827, Industrial and Operations Engineering Building

eotles@umich.edu

website

Related Links
  • Machine Learning for Data-Driven Decisions Research Group
Research Interests Biography Awards

Research Interests: ^top

I am interested in the intersection of medicine and machine learning. Broadly my research interests include machine learning, artificial intelligence, operations research, clinical informatics and bioinformatics.

Biography: ^top

I am a Medical Scientist Training Program Fellow (MD-PhD student) at the University of Michigan. I have completed the first three years of my medical school training and currently I am in my second year of my PhD work. My research interest lies in creating machine learning and artificial intelligence tools for patients, physicians, and health systems. Most of my work focuses on the development, deployment, and prospective validation of dynamic health outcome prediction models (e.g. early warning systems). I am co-advised by Brian Denton (Industrial and Operations Engineering) and Jenna Wiens (Computer Science and Engineering). I have a professional background in health IT development and hold a Master’s of Engineering from the University of Wisconsin. After completion of my MD-PhD training, I plan on pursing medical residency training in emergency medicine.

Awards: ^top

American Academy of Family Physicians – Innovation Fellow 2018-2019

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Research Area
  • Business and Operations Analytics
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Industrial & Operations Engineering
Industrial & Operations Engineering

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