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
  • 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
  • COMPSCI 394: Research Independent Study
  • MATH 230: Probability
  • NEUROSCI 493: Research Independent Study 1
  • STA 102: Introductory Biostatistics
  • STA 230: Probability
  • STA 493: Research Independent Study
  • STA 571: Advanced Probabilistic Machine Learning
  • STA 582L: DataFest
  • STA 993: Independent Study

In the News

Representative Publications

  • 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., The Journal of Neuroscience : the Official Journal of the Society for 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].
  • Futoma, J; Hariharan, S; Heller, K, Learning to detect sepsis with a multitask Gaussian process RNN classifier, 34th International Conference on Machine Learning, Icml 2017, vol 3 (2017), pp. 1914-1922 [abs].