Katherine Heller

Heller

Assistant Professor of Statistical Science

Appointments and Affiliations

  • Assistant 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 (UK), 2011
  • Ph.D. University College London (United Kingdom), 2008
  • M.S. Columbia University, 2003
  • B.S. State University of New York at Stony Brook, 2000

Courses Taught

  • BRAINSOC 395-1: Bass Connections in Brain and Society: Interdisciplinary Team Projects
  • BRAINSOC 395: Bass Connections in Brain and Society: Interdisciplinary Team Projects
  • 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
  • COMPSCI 391: Independent Study
  • ECE 891: Internship
  • STA 102: Introductory Biostatistics
  • STA 993: Independent Study

In the News

Representative Publications

  • Lorenzi, E; Henao, R; Heller, K, Hierarchical infinite factor models for improving the prediction of surgical complications for geriatric patients, The Annals of Applied Statistics, vol 13 no. 4 (2019), pp. 2637-2661 [10.1214/19-AOAS1292] [abs].
  • Wiens, J; Saria, S; Sendak, M; Ghassemi, M; Liu, VX; Doshi-Velez, F; Jung, K; Heller, K; Kale, D; Saeed, M; Ossorio, PN; Thadaney-Israni, S; Goldenberg, A, Author Correction: Do no harm: a roadmap for responsible machine learning for health care., Nature Medicine, vol 25 no. 10 (2019) [10.1038/s41591-019-0609-x] [abs].
  • Wang, S; Fan, K; Luo, N; Cao, Y; Wu, F; Zhang, C; Heller, KA; You, L, Massive computational acceleration by using neural networks to emulate mechanism-based biological models., Nature Communications, vol 10 no. 1 (2019) [10.1038/s41467-019-12342-y] [abs].
  • Wiens, J; Saria, S; Sendak, M; Ghassemi, M; Liu, VX; Doshi-Velez, F; Jung, K; Heller, K; Kale, D; Saeed, M; Ossorio, PN; Thadaney-Israni, S; Goldenberg, A, Do no harm: a roadmap for responsible machine learning for health care., Nature Medicine, vol 25 no. 9 (2019), pp. 1337-1340 [10.1038/s41591-019-0548-6] [abs].
  • Wei, Q; Fan, K; Wang, W; Zheng, T; Amit, C; Heller, K; Chen, C; Ren, K, InverseNet: Solving inverse problems of multimedia data with splitting networks, Proceedings Ieee International Conference on Multimedia and Expo, vol 2019-July (2019), pp. 1324-1329 [10.1109/ICME.2019.00230] [abs].