Timothy Dunn

Biomedical Engineering

Assistant Professor of Biomedical Engineering

Timothy Dunn Profile Photo
Timothy Dunn Profile Photo

Research Themes

Biomedical & Health Data Sciences, Biomedical Imaging & Biophotonics, Computational Modeling of Biological Systems, Neural Engineering

Research Interests

Machine learning, computer vision, neurobiology, animal behavior, computational neuroscience, prognostic modeling, traumatic brain injury

Education

  • Ph.D. Harvard University, 2015

Positions

  • Assistant Professor of Biomedical Engineering
  • Assistant Professor in Neurobiology
  • Assistant Professor in the Department of Electrical and Computer Engineering
  • Assistant Professor in Neurosurgery
  • Member of the Center for Cognitive Neuroscience

Awards, Honors, and Distinctions

  • Technological Innovations in Neuroscience Award. McKnight Foundation. 2021
  • Peer Recognition Honor. Duke, Pratt School of Engineering. 2020
  • AI Watson XPrize Finalist (with team DataKind). IBM. 2017
  • Certificate of Excellence in Teaching. Harvard University. 2017
  • Certificate of Distinction in Teaching. Harvard University . 2017
  • Certificate of Distinction in Teaching. Harvard University . 2013
  • Graduate Research Fellowship. National Science Foundation . 2010
  • MCB Department Citation (Best in Class). UC Berkeley. 2008
  • I.L. Chaikoff Award for Undergraduate Research. UC Berkeley . 2008

Courses Taught

  • EGR 393: Research Projects in Engineering
  • ECE 899: Special Readings in Electrical Engineering
  • ECE 493: Projects in Electrical and Computer Engineering
  • BME 899: Special Readings in Biomedical Engineering
  • BME 792: Continuation of Graduate Independent Study
  • BME 791: Graduate Independent Study
  • BME 789: Internship in Biomedical Engineering
  • BME 590: Special Topics in Biomedical Engineering
  • BME 580: An Introduction to Biomedical Data Science (GE)
  • BME 494: Projects in Biomedical Engineering (GE)
  • BME 493: Projects in Biomedical Engineering (GE)
  • BME 394: Projects in Biomedical Engineering (GE)
  • AIPI 591: Special Readings in AI for Product Innovation

Publications

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