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.
Assistant Professor
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)
Areas of Expertise and/or Research
Statistical Inference, Data Science, Complex Networks, Complex Systems
Education
- Ph.D., Physics - Université Laval in Québec
- M.S., Physics - Université Laval in Québec
- B.S., Physics - Université Laval in Québec
Contact
Email:
Office Location:
Innovation Hall E403
Website(s):
Courses Taught
STAT 330 Bayesian Statistics
STAT 395 Statistical Network Analysis