Assistant Professor of Statistical Science
Advancing Artificial Intelligence for the Naval Domain awarded by Office of Naval Research (Co-Principal Investigator). 2018 to 2022
Postdoctoral Training in Genomic Medicine Research awarded by National Institutes of Health (Co-Mentor). 2017 to 2022
Building Better Teams: A Network Analysis Approach awarded by U.S. Army Research Inst. for Behavioral and Social Sciences (Co-Principal Investigator). 2018 to 2021
+ awarded by National Science Foundation (Principal Investigator). 2016 to 2021
An Integrated Nonparametric Bayesian and Deep Neural Network Framework for Biologically-Inspired Lifelong Learning awarded by Defense Advanced Research Projects Agency (Principal Investigator). 2018 to 2020
Basic predoctoral training in neuroscience awarded by National Institutes of Health (Training Faculty). 1992 to 2018
BRAIN EAGER: Bayesian Models of Translational Neural Networks: Motivation and Reward awarded by National Science Foundation (Principal Investigator). 2014 to 2017
Collaborative Research: Workshop for Women in Machine Learning awarded by National Science Foundation (Principal Investigator). 2013 to 2016
Bayesian Models of Social Behavior Using Online Resources awarded by National Science Foundation (Principal Investigator). 2013 to 2015
Ghahramani, Z, Mohamed, S, and Heller, K. "A simple and general exponential family framework for partial membership and factor analysis." Handbook of Mixed Membership Models and Their Applications. January 1, 2014. 67-88. Full Text
Williamson, S, Wang, C, Heller, KA, and Blei, DM. "Nonparametric mixed membership modelling using the IBP compound dirichlet process." Mixtures: Estimation and Applications. April 25, 2011. 145-160. Full Text
Blundell, C, Teh, YW, and Heller, KA. "Discovering nonbinary hierarchical structures with Bayesian rose trees." Mixtures: Estimation and Applications. April 25, 2011. 161-187. Full Text
Corey, KM, Kashyap, S, Lorenzi, E, Lagoo-Deenadayalan, SA, Heller, K, Whalen, K, Balu, S, Heflin, MT, McDonald, SR, Swaminathan, M, and 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 15.11 (November 27, 2018): e1002701-null. Full Text
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, and Dzirasa, K. "A Shared Vision for Machine Learning in Neuroscience." The Journal of Neuroscience : the Official Journal of the Society for Neuroscience 38.7 (February 2018): 1601-1607. Full Text
Madlon-Kay, S, Brent, L, Montague, M, Heller, K, and Platt, M. "Using Machine Learning to Discover Latent Social Phenotypes in Free-Ranging Macaques." Brain Sciences 7.7 (July 21, 2017). Full Text
Futoma, J, Sendak, M, Cameron, CB, and Heller, K. "Scalable joint modeling of longitudinal and point process data for disease trajectory prediction and improving management of chronic kidney disease." 32nd Conference on Uncertainty in Artificial Intelligence 2016, Uai 2016 (January 1, 2016): 222-231.
Jiang, J, Beck, J, Heller, K, and Egner, T. "An insula-frontostriatal network mediates flexible cognitive control by adaptively predicting changing control demands." Nature Communications 6 (September 22, 2015): 8165-null. Full Text
Jiang, J, Heller, K, and Egner, T. "Bayesian modeling of flexible cognitive control." Neuroscience and Biobehavioral Reviews 46.P1 (October 1, 2014): 30-43. (Review) Full Text
Jiang, J, Heller, K, and Egner, T. "Bayesian modeling of flexible cognitive control." Neuroscience and Biobehavioral Reviews 46 Pt 1 (October 2014): 30-43. (Review) Full Text
Beck, J, Heller, K, and Pouget, A. "Complex inference in neural circuits with probabilistic population codes and topic models." Advances in Neural Information Processing Systems 4 (December 1, 2012): 3059-3067.
Fan, K, Zhang, Y, Henao, R, and Heller, K. "Triply stochastic variational inference for non-linear beta process factor analysis." January 31, 2017. Full Text
Fai, K, Wei, Q, Carin, L, and Heller, K. "An Inner-loop Free Solution to Inverse Problems using Deep Neural Networks." January 1, 2017.
Futoma, J, Hariharan, S, and Heller, K. "Learning to detect sepsis with a multitask Gaussian process RNN classifier." January 1, 2017.
Fan, K, Li, C, and Heller, K. "A unifying variational inference framework for hierarchical graph-coupled HMM with an application to influenza infection." January 1, 2016.
Tan, X, Naqvi, SAZ, Qi, A, Heller, KA, and Rao, V. "Content-based modeling of reciprocal relationships using Hawkes and Gaussian processes." January 1, 2016.
Fan, K, Eisenberg, M, Walsh, A, Aiello, A, and Heller, K. "Hierarchical graph-coupled HMMs for heterogeneous personalized health data." August 10, 2015. Full Text
Fan, K, Wang, Z, Beck, J, Kwok, JT, and Heller, K. "Fast second-order stochastic backpropagation for variational inference." January 1, 2015.
Guo, F, Blundell, C, Wallach, H, and Heller, K. "The Bayesian echo chamber: Modeling social inuence via linguistic accommodation." January 1, 2015.
Wang, X, Guo, F, Heller, KA, and Dunson, DB. "Parallelizing MCMC with random partition trees." January 1, 2015.