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Gregory Hart

Research Scientist

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Bio

Gregory is a Research Scientist in the Epidemiology Group at the Institute for Disease Modeling (IDM). Currently he is working on integrating genetic data into disease transmission modeling. Before coming to IDM he was a postdoc at the Yale School of Medicine where he predicted cancer risk from personal health data. He earned his Ph.D., in Physics, from the University of Illinois at Urbana-Champaign, where he worked on predicting optimal vaccine candidates based on fitness information derived from genetic data.

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Pathogens/Diseases of Main Interest/Expertise

COVID-19

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Papers

Kerr CC, Stuart RM, Mistry D, Abeysuriya RG, Rosenfeld K, Hart GR, Núñez RC, Cohen JA, Selvaraj P, Hagedorn B, George L, Jastrzębski M, Izzo AS, Fowler G, Palmer A, Delport D, Scott N, Kelly SL, Bennette CS, Wagner BG, Chang ST, Oron AP, Wenger EA, Panovska-Griffiths J, Famulare M, Klein DJ. (2021). Covasim: An agent-based model of COVID-19 dynamics and interventions. PLoS computational biology, 17(7)

Kerr CC, Mistry D, Stuart RM, Rosenfeld K, Hart GR, Núñez RC, Cohen JA, Selvaraj P, Abeysuriya RG, Jastrzębski M, George L, Hagedorn B, Panovska-Griffiths J, Fagalde M, Duchin J, Famulare M, Klein DJ. (2021). Controlling COVID-19 via test-trace-quarantine. Nature communications, 12(1)

Jackson ML, Hart GR, McCulloch DJ, Adler A, Brandstetter E, Fay K, Han P, Lacombe K, Lee J, Sibley TR, Nickerson DA, Rieder MJ, Starita L, Englund JA, Bedford T, Chu H, Famulare M, . (2021). Effects of weather-related social distancing on city-scale transmission of respiratory viruses: a retrospective cohort study. BMC infectious diseases, 21(1)

Shea K, Borchering RK, Probert WJM, Howerton E, Bogich TL, Li S, Van Panhuis WG, Viboud C, Aguas R, Belov A, Bhargava SH, Cavany S, Chang JC, Chen C, Chen J, Chen S, Chen Y, Childs LM, Chow CC, Crooker I, Del Valle SY, España G, Fairchild G, Gerkin RC, Germann TC, Gu Q, Guan X, Guo L, Hart GR, Hladish TJ, Hupert N, Janies D, Kerr CC, Klein DJ, Klein E, Lin G, Manore C, Meyers LA, Mittler J, Mu K, Núñez RC, Oidtman R, Pasco R, Piontti APY, Paul R, Pearson CAB, Perdomo DR, Perkins TA, Pierce K, Pillai AN, Rael RC, Rosenfeld K, Ross CW, Spencer JA, Stoltzfus AB, Toh KB, Vattikuti S, Vespignani A, Wang L, White L, Xu P, Yang Y, Yogurtcu ON, Zhang W, Zhao Y, Zou D, Ferrari M, Pannell D, Tildesley M, Seifarth J, Johnson E, Biggerstaff M, Johansson M, Slayton RB, Levander J, Stazer J, Salerno J, Runge MC. (2020). COVID-19 reopening strategies at the county level in the face of uncertainty: Multiple Models for Outbreak Decision Support. medRxiv : the preprint server for health sciences

Muhammad W, Liang Y, Hart GR, Nartowt BJ, Deng J. (2020). Monte Carlo simulation of coherently scattered photons based on the inverse-sampling technique. Acta crystallographica. Section A, Foundations and advances, 76(Pt 1)

Jackson Michael L, Hart Gregory R, McCulloch Denise J, Adler Amanda, Brandstetter Elisabeth, Fay Kairsten, Han Peter, Lacombe Kirsten, Lee Jover, Sibley Thomas, Nickerson Deborah A, Rieder Mark, Starita Lea, Englund Janet A, Bedford Trevor, Chu Helen, Famulare Michael, Investigators the Seattle Flu Study. (2020). Effects of weather-related social distancing on city-scale transmission of respiratory viruses. Cold Spring Harbor Laboratory Press

Stark GF, Hart GR, Nartowt BJ, Deng J. (2019). Predicting breast cancer risk using personal health data and machine learning models. PloS one, 14(12)

Nartowt BJ, Hart GR, Roffman DA, Llor X, Ali I, Muhammad W, Liang Y, Deng J. (2019). Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data. PloS one, 14(8)

Hart GR, Ferguson AL. (2018). Computational design of hepatitis C virus immunogens from host-pathogen dynamics over empirical viral fitness landscapes. Physical biology, 16(1)

Roffman D, Hart G, Girardi M, Ko CJ, Deng J. (2018). Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network. Scientific reports, 8(1)

Hart GR, Roffman DA, Decker R, Deng J. (2018). A multi-parameterized artificial neural network for lung cancer risk prediction. PloS one, 13(10)

Ali I, Hart GR, Gunabushanam G, Liang Y, Muhammad W, Nartowt B, Kane M, Ma X, Deng J. (2018). Deep Reinforcement Learning. Frontiers in oncology, (8)

Roffman DA, Hart GR, Leapman MS, Yu JB, Guo FL, Ali I, Deng J. (2018). Development and Validation of a Multiparameterized Artificial Neural Network for Prostate Cancer Risk Prediction and Stratification. JCO clinical cancer informatics, (2)

Hart GR, Ferguson AL. (2015). Empirical fitness models for hepatitis C virus immunogen design. Physical biology, 12(6)

Hart GR, Ferguson AL. (2015). Error catastrophe and phase transition in the empirical fitness landscape of HIV. Physical review. E, Statistical, nonlinear, and soft matter physics, 91(3)

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