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

• Satyadev, N; Warman, PI; Seas, A; Kolls, BJ; Haglund, MM; Fuller, AT; Dunn, TW, Machine Learning for Predicting Discharge Disposition After Traumatic Brain Injury., Neurosurgery, vol 90 no. 6 (2022), pp. 768-774 [10.1227/neu.0000000000001911] [abs].
• Warman, PI; Seas, A; Satyadev, N; Adil, SM; Kolls, BJ; Haglund, MM; Dunn, TW; Fuller, AT, Machine Learning for Predicting In-Hospital Mortality After Traumatic Brain Injury in Both High-Income and Low- and Middle-Income Countries., Neurosurgery, vol 90 no. 5 (2022), pp. 605-612 [10.1227/neu.0000000000001898] [abs].
• Marshall, JD; Li, T; Wu, JH; Dunn, TW, Leaving flatland: Advances in 3D behavioral measurement., Current Opinion in Neurobiology, vol 73 (2022) [10.1016/j.conb.2022.02.002] [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 (2022) [10.1016/j.wneu.2022.02.097] [abs].
• Yao, X; Pathak, V; Xi, H; Chaware, A; Cooke, C; Kim, K; Xu, S; Li, Y; Dunn, T; Chandra Konda, P; 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].