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Erida Gjini

Institutional Address

Instituto Superior Técnico (IST)
Av. Rovisco Pais 1
1049-001 LISBOA


Phone: | Email: erida.gjini@tecnico.ulisboa.pt | Web: biomathematica.wordpress.com

Position

FCT Investigator in Mathematical biology, Instituto Superior Técnico, University of Lisbon

Area

Mathematical Modeling in Biomedicine

Principal Area

Infectious disease models, mathematical epidemiology, stochastic processes

Other Area

Evolution, interaction networks, biodiversity, complexity

Qualifications and previous positions

  • Visiting researcher at LE STUDIUM, Loire Valley Institute for Advanced Studies (2021)
  • Principal Investigator (2015-2020) Instituto Gulbenkian de Ciencia, Oeiras, PT: Mathematical Modeling of Biological Processes Group
  • Post-doctoral researcher (2012-2015) Instituto Gulbenkian de Ciencia, Oeiras, PT: Collective Dynamics Group
  • PhD in Mathematics (2012), University of Glasgow, UK
  • MSc in Mathematical Sciences (2007), Utrecht University, NL
  • Bachelor of Science in Liberal Arts, Major: Maths (2005), Utrecht University College, NL

Papers in International Journals

Other selected publications:

Gjini E. (2017) Geographic variation in pneumococcal vaccine efficacy estimated from dynamic modeling of epidemiological data post-PCV7 Nature Scientific Reports 7: 3049 | DOI:10.1038/s41598-017-02955-y 

Gjini E. and Madec S. (2016) A slow-fast dynamic decomposition links neutral and non-neutral coexistence in interacting multi-strain pathogens.Theoretical Ecology  pp:1-13, doi:10.1007/s12080-016-0320-1

Gjini E. and Brito P.H. (2016) Integrating Antimicrobial Therapy with Host Immunity to Fight Drug-Resistant Infections: Classical vs. Adaptive treatment. PLoS Computational Biology 12(4), e1004857. DOI:10.1371/journal.pcbi.1004857   

Gjini E., Valente C., Sa-Leao R., Gomes, M.G.M. (2016) How direct competition shapes coexistence and vaccine effects in multi-strain pathogen systems. Journal of Theoretical Biology  388:50-60, DOI: 10.1016/j.jtbi.2015.09.031

Gjini, E., Haydon, D.T., Barry, J.D. and Cobbold, C.A. (2014) Revisiting the difffusion approximation to estimate evolutionary rates of gene family diversification. Journal of Theoretical Biology. 341:111-22.

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