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
  • 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
  • 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

  • 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.
  • 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, January 1, 2025. https://doi.org/10.1002/adfm.202500696.
  • Kim, K., S. Lyu, S. Mantri, and T. W. Dunn. “TULIP: Multi-Camera 3D Precision Assessment of Parkinson's Disease.” In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 22551–62, 2024. https://doi.org/10.1109/CVPR52733.2024.02128.
  • Manjunath, P., B. Lerner, and T. Dunn. “Towards Interactive and Interpretable Image Retrieval-Based Diagnosis: Enhancing Brain Tumor Classification with LLM Explanations and Latent Structure Preservation.” In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 14845 LNAI:335–49, 2024. https://doi.org/10.1007/978-3-031-66535-6_35.