Jean-Gabriel Young

Assistant Professor, Department of Computer Science

Jean-Gabriel Young
Alma mater(s)
  • Ph.D., Physics - Université Laval in Québec
  • M.S., Physics - Université Laval in Québec
  • B.S., Physics - Université Laval in Québec
Affiliated Department(s)

Department of Computer Science

BIO

Jean-Gabriel joined UVM in 2020 after spending two years as a James S. McDonnell Foundation Fellow at the Center for the Study of Complex Systems of the University of Michigan. He studies computational and statistical aspects of complex systems and infectious disease epidemiology, as well as data science more broadly.

Jean-Gabriel Young's website

Area(s) of expertise

Statistical Inference, Data Science, Complex Networks, Complex Systems.

Bio

Jean-Gabriel joined UVM in 2020 after spending two years as a James S. McDonnell Foundation Fellow at the Center for the Study of Complex Systems of the University of Michigan. He studies computational and statistical aspects of complex systems and infectious disease epidemiology, as well as data science more broadly.

Jean-Gabriel Young's website

Areas of Expertise

Statistical Inference, Data Science, Complex Networks, Complex Systems.

Publications

  • Cutting through the noise to infer autonomous system topology
    K. G. Leyba, J. J. Daymude, J.-G. Young, M. E. J. Newman, J. Rexford, and S. Forrest
    INFOCOM 2022, IEEE Conference on Computer Communications, pp. 1609-1618
    (2022)
  • Reconstruction of plant–pollinator networks from observational data
    J.-G. Young, F. S. Valdovinos, and M. E. J. Newman
    Nature Communication 12, 3911 (2021)
  • Inference, model selection, and the combinatorics of growing trees
    G. T. Cantwell, G. St-Onge, and J.-G. Young
    Physical Review Letters 126, 038301 (2021)
  • Macroscopic patterns of interacting contagions are indistinguishable from social reinforcement
    L. Hébert-Dufresne, S. V. Scarpino, and J.-G. Young
    Nature Physics (2020)
  • Networks beyond pairwise interactions: structure and dynamics
    F. Battiston, G. Cencetti, I. Iacopini, V. Latora, M. Lucas, A. Patania, J.-G. Young, and G. Petri
    Phys. Rep. 874 (2020)
  • Phase transition in the recoverability of network history
    J.-G. Young, G. St-Onge, E. Laurence, C. Murphy, L. Hébert-Dufresne, and P. Desrosiers
    Phys. Rev. X, 9, 041056 (2019)
  • Universality of the stochastic block model
    J.-G. Young, G. St-Onge, P. Desrosiers, and L. J. Dubé
    Phys. Rev. E, 98, 032309 (2018)