Timothy Dunn

Assistant Professor of Biomedical Engineering

Appointments and Affiliations

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

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
  • 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 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, Kevin, Katrina L. Wilson, Cara S. Smith, Long Nguyen, Neica I. Joesph, Rachel Irengo, Lauren 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 2025): 2500696. 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.