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
  • NEUROSCI 493: Research Independent Study 1
  • STA 102: Introductory Biostatistics
  • STA 571: Advanced Probabilistic Machine Learning
  • STA 582L: DataFest
  • STA 993: Independent Study

In the News

Representative Publications

  • Corey, KM; Kashyap, S; Lorenzi, E; Lagoo-Deenadayalan, SA; Heller, K; Whalen, K; Balu, S; Heflin, MT; McDonald, SR; Swaminathan, M; Sendak, M, Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study., Plos Medicine, vol 15 no. 11 (2018) [10.1371/journal.pmed.1002701] [abs].
  • Vu, M-AT; Adalı, T; Ba, D; Buzsáki, G; Carlson, D; Heller, K; Liston, C; Rudin, C; Sohal, VS; Widge, AS; Mayberg, HS; Sapiro, G; Dzirasa, K, A Shared Vision for Machine Learning in Neuroscience., Journal of Neuroscience, vol 38 no. 7 (2018), pp. 1601-1607 [10.1523/JNEUROSCI.0508-17.2018] [abs].
  • Madlon-Kay, S; Brent, L; Montague, M; Heller, K; Platt, M, Using Machine Learning to Discover Latent Social Phenotypes in Free-Ranging Macaques., Brain Sciences, vol 7 no. 7 (2017) [10.3390/brainsci7070091] [abs].
  • Fan, K; Zhang, Y; Henao, R; Heller, K, Triply stochastic variational inference for non-linear beta process factor analysis, Proceedings Ieee International Conference on Data Mining, Icdm (2017), pp. 121-130 [10.1109/ICDM.2016.36] [abs].
  • Fai, K; Wei, Q; Carin, L; Heller, K, An Inner-loop Free Solution to Inverse Problems using Deep Neural Networks, Advances in Neural Information Processing Systems, vol 2017-December (2017), pp. 2371-2381 [abs].