George G. Vega Yon, MSci, PhD

Languages spoken: English, Spanish

Academic Information

Departments: Internal Medicine - Research Assistant Professor

Divisions: Epidemiology

Academic Office Information

george.vegayon@utah.edu

Labs

Research Interests

  • Social Networks and Complex Systems
  • Statistical Computing
  • Scientific Software Development
  • Statistical Methods Development
  • Nonparametric Statistics

I am an Assistant Professor of Research at the Division of Epidemiology at the University of Utah. I work on studying Complex Systems using Statistical Computing. I have over ten years of experience developing scientific software focusing on high-performance computing, data visualization, and social network analysis. My training is in Public Policy (M.A. UAI, 2011), Economics (M.Sc. Caltech, 2015), and Biostatistics (Ph.D. USC, 2020).

Education History

Doctoral Training University of Southern California
Biostatistics (with concentration in Statistical Computing) 		Ph.D.
Graduate Training California Institute of Technology
Social Sciences (with concentration in Economics) 		M.Sc.
Graduate Training Universidad Adolfo Ibáñez
Economics and Public Policy 		M.A.
Undergraduate Universidad Adolfo Ibáñez
Business Administration (with a minor in Political Science) 		B.S.

Selected Publications

  1. Hncean MG, Perc M, Gheorghi A, Vega Yon GG, Mihil BE (2022). The formation of political discussion networks. R Soc Open Sci, 9(1), 211609.
  2. Ouellet M, Hashimi S, Vega Yon GG (2022). Officer Networks and Firearm Behaviors: Assessing the Social Transmission of Weapon-Use. J Quant Criminol.
  3. Vega Yon GG (2021). Building, Importing, and Exporting GEXF Graph Files with rgexf. J Open Source Softw, 6(64), 3456.
  4. Vega Yon GG, Thomas DC, Morrison J, Mi H, Thomas PD, Marjoram P (2021). Bayesian parameter estimation for automatic annotation of gene functions using observational data and phylogenetic trees. PLoS Comput Biol, 17(2), e1007948.
  5. Vega Yon GG, Slaughter A, de la Haye K (2021). Exponential random graph models for little networks. Soc Networks, 64, 225-238.
  6. Valente TW, Pitts S, Wipfli H, Vega Yon GG (2020). Corrigendum to "Network influences on policy implementation: Evidence from a global health treaty" [Soc. Sci. Med.] 222 (February 2019) 188-197. Soc Sci Med (258, p. 112245). England.
  7. Valente TW, Vega Yon GG (2020). Diffusion/Contagion Processes on Social Networks. Health Educ Behav, 47(2), 235-248.
  8. Vega Yon GGQuistorff B (2019). parallel: A command for parallel computing. Stata J, 19(3), 667-684.
  9. de la Haye K, Shin H, Vega Yon GG, Valente TW (2019). Smoking Diffusion through Networks of Diverse, Urban American Adolescents over the High School Period. J Health Soc Behav, 60(3), 362-376.
  10. Vega Yon GG, Marjoram P (2019). fmcmc: A friendly MCMC framework. J Open Source Softw, 4(39), 1427.
  11. Vega Yon GG, Marjoram P (2019). slurmR: A lightweight wrapper for HPC with Slurm. J Open Source Softw, 4(39), 1493.
  12. Bell BM, Spruijt-Metz D, Vega Yon GG, Mondol AS, Alam R, Ma M, Emi I, Lach J, Stankovic JA, De la Haye K (2019). Sensing eating mimicry among family members. Transl Behav Med, 9(3), 422-430.
  13. Valente TW, Pitts S, Wipfli H, Vega Yon GG (2019). Network influences on policy implementation: Evidence from a global health treaty. Soc Sci Med, 222, 188-197.
  14. Vega Yon GG, Marjoram P (2019). fmcmc: A friendly MCMC framework. J Open Source Softw, 4(39).
  15. Fbrega Lacoa J, Vega Yon GG (2013). El impacto del rating televisivo sobre la actividad en Twitter: evidencia para Chile sobre la base del evento TELETÓN 2012. (33), 3-52.