Timothy Dunn

Dunn

Assistant Professor of Biomedical Engineering

Appointments and Affiliations

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

Contact Information

Education

  • Ph.D. Harvard University, 2015

Research Interests

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

Awards, Honors, and Distinctions

  • Technological Innovations in Neuroscience Award. McKnight Foundation. 2021
  • Peer Recognition Honor. Duke, Pratt School of Engineering. 2020
  • Certificate of Excellence in Teaching. Harvard University. 2017
  • AI Watson XPrize Finalist (with team DataKind). IBM. 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
  • 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 493: Projects in Biomedical Engineering (GE)
  • BME 394: Projects in Biomedical Engineering (GE)
  • AIPI 591: Special Readings in AI for Product Innovation

In the News

Representative Publications

  • Li, T; Severson, KS; Wang, F; Dunn, TW, Improved 3D Markerless Mouse Pose Estimation Using Temporal Semi-Supervision., Int J Comput Vis, vol 131 no. 6 (2023), pp. 1389-1405 [10.1007/s11263-023-01756-3] [abs].
  • Thomson, EE; Harfouche, M; Kim, K; Konda, PC; Seitz, CW; Cooke, C; Xu, S; Jacobs, WS; Blazing, R; Chen, Y; Sharma, S; Dunn, TW; Park, J; Horstmeyer, RW; Naumann, EA, Gigapixel imaging with a novel multi-camera array microscope., Elife, vol 11 (2022) [10.7554/eLife.74988] [abs].
  • Adil, SM; Charalambous, LT; Rajkumar, S; Seas, A; Warman, PI; Murphy, KR; Rahimpour, S; Parente, B; Dharmapurikar, R; Dunn, TW; Lad, SP, Machine Learning to Predict Successful Opioid Dose Reduction or Stabilization After Spinal Cord Stimulation., Neurosurgery, vol 91 no. 2 (2022), pp. 272-279 [10.1227/neu.0000000000001969] [abs].
  • Adil, SM; Elahi, C; Patel, DN; Seas, A; Warman, PI; Fuller, AT; Haglund, MM; Dunn, TW, Deep Learning to Predict Traumatic Brain Injury Outcomes in the Low-Resource Setting., World Neurosurg, vol 164 (2022), pp. e8-e16 [10.1016/j.wneu.2022.02.097] [abs].
  • Kirsch, EP; Suarez, A; McDaniel, KE; Dharmapurikar, R; Dunn, T; Lad, SP; Haglund, MM, Construct validity of the Surgical Autonomy Program for the training of neurosurgical residents., Neurosurg Focus, vol 53 no. 2 (2022) [10.3171/2022.5.FOCUS22166] [abs].