Timothy Dunn

Assistant Professor of Biomedical Engineering

Appointments and Affiliations

  • Assistant Professor of Biomedical Engineering
  • Assistant Professor in Neurobiology
  • Assistant Professor in the Department of Electrical and Computer Engineering
  • Assistant Professor in Neurosurgery

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 Distinction in Teaching. Harvard University . 2017
  • Certificate of Excellence in Teaching. Harvard University. 2017
  • AI Watson XPrize Finalist (with team DataKind). IBM. 2017
  • Certificate of Distinction in Teaching. Harvard University . 2013
  • Graduate Research Fellowship. National Science Foundation . 2010
  • I.L. Chaikoff Award for Undergraduate Research. UC Berkeley . 2008
  • MCB Department Citation (Best in Class). 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 790L: Advanced Topics with the Lab for Graduate Students in Biomedical Engineering
  • 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)
  • BME 390L: Special Topics with a Lab

In the News

Representative Publications

  • Manjunath, Pranav, Brian Lerner, and Timothy W. Dunn. “Trust Your Neighbors: Multimodal Patient Retrieval for TBI Prognosis.” IEEE Journal of Biomedical and Health Informatics 29, no. 12 (December 2025): 8775–82. https://doi.org/10.1109/jbhi.2025.3622508.
  • Erning, K., K. L. Wilson, C. S. Smith, L. Nguyen, N. I. Joseph, R. Irengo, L. Y. Cao, et al. “Delivery of Angiogenic Therapy from Flowable Hyaluronic Acid Porous Scaffolds Results in Functional Improvement without Anti-Inflammatory Agents.” Advanced Functional Materials 35, no. 30 (July 24, 2025). https://doi.org/10.1002/adfm.202500696.
  • Klibaite, Ugne, Tianqing Li, Diego Aldarondo, Jumana F. Akoad, Bence P. Ölveczky, and Timothy W. Dunn. “Mapping the landscape of social behavior.” Cell 188, no. 8 (April 2025): 2249-2266.e23. https://doi.org/10.1016/j.cell.2025.01.044.
  • Adil, Syed M., Andreas Seas, Daniel P. Sexton, Pranav I. Warman, Benjamin D. Wissel, Kennedy L. Carpenter, Lacey Carter, et al. “Revisiting the Endoscopic Third Ventriculostomy Success Score using machine learning: can we do better?” J Neurosurg Pediatr 35, no. 3 (March 1, 2025): 246–54. https://doi.org/10.3171/2024.9.PEDS24146.
  • Wu, J. H., H. Koneru, J. R. Ravenel, A. Sabath, J. M. Roach, S. S. X. Lim, M. R. Tadross, A. H. Williams, and T. W. Dunn. “DISENTANGLING 3D ANIMAL POSE DYNAMICS WITH SCRUBBED CONDITIONAL LATENT VARIABLES.” In 13th International Conference on Learning Representations Iclr 2025, 44255–82, 2025.