Timothy Dunn

Assistant Professor of Biomedical Engineering

Appointments and Affiliations

• Assistant Professor of Biomedical Engineering
• Assistant Professor in Neurosurgery

Contact Information

• Email Address: timothy.dunn@duke.edu
• Websites:
  • Duke AI Health
  • Duke Division of Global Neurosurgery and Neurology
  • github.com/spoonsso
  • www.tdunnlab.org
  • www.timothy-dunn.com

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 Distinction in Teaching. Harvard University . 2017
• Certificate of Excellence 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

• AIPI 591: Special Readings in AI for Product Innovation
• BME 590: Special Topics in Biomedical Engineering
• BME 791: Graduate Independent Study

In the News

• Welcome the Pratt School New Faculty (Oct 26, 2021 | Pratt School of Engineering)
• Timothy Dunn: Tracking Movement to Decipher Brain Activity (Jun 22, 2021 | Duke Engineering News)
• Learning to DANNCE (Apr 23, 2021 | Duke AI Health)
• Tim Dunn - The DANNCE Study (Apr 19, 2021 | Duke Forge)
• Neural Circuits at the Brain Scale (Nov 8, 2016 | Harvard MCB News)
• Calculating Time to Collision (Feb 3, 2016 | Harvard MCB News)

Representative Publications

• Yao, X; Pathak, V; Xi, H; Chaware, A; Cooke, C; Kim, K; Xu, S; Li, Y; Dunn, T; Konda, PC; Zhou, KC; Horstmeyer, R, Increasing a microscope's effective field of view via overlapped imaging and machine learning, Optics Express, vol 30 no. 2 (2022), pp. 1745-1761 [10.1364/OE.445001] [abs].
• Dunn, TW; Marshall, JD; Severson, KS; Aldarondo, DE; Hildebrand, DGC; Chettih, SN; Wang, WL; Gellis, AJ; Carlson, DE; Aronov, D; Freiwald, WA; Wang, F; Ölveczky, BP, Geometric deep learning enables 3D kinematic profiling across species and environments., Nat Methods, vol 18 no. 5 (2021), pp. 564-573 [10.1038/s41592-021-01106-6] [abs].
• Adil, SM; Elahi, C; Gramer, R; Spears, CA; Fuller, AT; Haglund, MM; Dunn, TW, Predicting the Individual Treatment Effect of Neurosurgery for Patients with Traumatic Brain Injury in the Low-Resource Setting: A Machine Learning Approach in Uganda., J Neurotrauma, vol 38 no. 7 (2021), pp. 928-939 [10.1089/neu.2020.7262] [abs].
• Spears, CA; Adil, SM; Kolls, BJ; Muhumza, ME; Haglund, MM; Fuller, AT; Dunn, TW, Surgical intervention and patient factors associated with poor outcomes in patients with traumatic brain injury at a tertiary care hospital in Uganda., J Neurosurg (2021), pp. 1-10 [10.3171/2020.9.JNS201828] [abs].
• Marshall, JD; Aldarondo, DE; Dunn, TW; Wang, WL; Berman, GJ; Ölveczky, BP, Continuous Whole-Body 3D Kinematic Recordings across the Rodent Behavioral Repertoire., Neuron, vol 109 no. 3 (2021), pp. 420-437.e8 [10.1016/j.neuron.2020.11.016] [abs].