Katherine Heller

Heller

Assistant Research Professor of Statistical Science

Appointments and Affiliations

  • Assistant Research Professor of Statistical Science
  • Assistant Professor in the Department of Electrical and Computer Engineering
  • Assistant Professor in Neurobiology
  • Assistant Professor in Neurology
  • Assistant Professor of Computer Science
  • Member of the Center for Cognitive Neuroscience
  • Affiliate of the Duke Initiative for Science & Society

Contact Information

  • Email Address: katherine.heller@duke.edu

Education

  • Massachusetts Institute of Technology, 2011
  • University of Cambridge (United Kingdom), 2011
  • Ph.D. University College London (United Kingdom), 2008
  • M.S. Columbia University, 2003
  • B.S. State University of New York, Stony Brook, 2000

Courses Taught

  • BRAINSOC 396-1: Bass Connections in Brain and Society 2: Interdisciplinary Team Projects
  • BRAINSOC 396: Bass Connections in Brain and Society 2: Interdisciplinary Team Projects
  • ECE 891: Internship
  • NEUROBIO 393: Research Independent Study
  • NEUROBIO 793: Research in Neurobiology

In the News

Representative Publications

  • Sendak, MP; Ratliff, W; Sarro, D; Alderton, E; Futoma, J; Gao, M; Nichols, M; Revoir, M; Yashar, F; Miller, C; Kester, K; Sandhu, S; Corey, K; Brajer, N; Tan, C; Lin, A; Brown, T; Engelbosch, S; Anstrom, K; Elish, MC; Heller, K; Donohoe, R; Theiling, J; Poon, E; Balu, S; Bedoya, A; O'Brien, C, Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study., Jmir Medical Informatics, vol 8 no. 7 (2020) [10.2196/15182] [abs].
  • Bedoya, AD; Futoma, J; Clement, ME; Corey, K; Brajer, N; Lin, A; Simons, MG; Gao, M; Nichols, M; Balu, S; Heller, K; Sendak, M; O'Brien, C, Machine learning for early detection of sepsis: an internal and temporal validation study., Jamia Open, vol 3 no. 2 (2020), pp. 252-260 [10.1093/jamiaopen/ooaa006] [abs].
  • Dusenberry, MW; Tran, D; Choi, E; Kemp, J; Nixon, J; Jerfel, G; Heller, K; Dai, AM, Analyzing the role of model uncertainty for electronic health records, Acm Chil 2020 Proceedings of the 2020 Acm Conference on Health, Inference, and Learning (2020), pp. 204-213 [10.1145/3368555.3384457] [abs].
  • Bu, F; Xu, S; Heller, K; Volfovsky, A, SMOGS: Social network metrics of game success, Aistats 2019 22nd International Conference on Artificial Intelligence and Statistics (2020) [abs].
  • Dusenberry, MW; Jerfel, G; Wen, Y; Ma, YA; Snoek, J; Heller, K; Lakshminarayanan, B; Tran, D, Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors, 37th International Conference on Machine Learning, Icml 2020, vol PartF168147-4 (2020), pp. 2762-2772 [abs].