Hi! I’m Mario Ignacio Simoy but, if you want, you can call me Nacho!
I’m an Argentine mathematician specialized in infectious disease modeling. Currently, I’m a postdoctoral fellow at CONICET, working at Instituto de Investigaciones en Energía no Convencional (INENCO) in Salta, Argentina.
My research interests include mathematical and computational modeling to analyze the dynamics of populations and infectious diseases, focusing on mosquito-borne diseases.
Apart from my research activities, I enjoy trekking, cycling, and playing basketball!
Important point: I don’t have a favorite theorem yet. Do you have one? Maybe this list can help you to find one.
PhD in Computational and Industrial Mathematics, 2019
UNICEN
Degree in Mathematics, 2014
UNICEN
The objective of this cross-sectional study was to describe the main symptoms associated with COVID-19, and their diagnostic characteristics, to aid in the clinical diagnosis.
Ross-Macdonald models are the building blocks of most vector-borne disease models. Even for the same disease, different authors use different model formulations, but a study of the dynamical consequences of assuming different hypotheses is missing. In this work we present different formulations of the basic Ross-Macdonald model together with a careful discussion of the assumptions behind each model.
Research project: Mathematical and computational modeling of the dynamics and transmission of dengue in localities with non-endemic patterns.
Advisor: Prof. Juan Pablo Aparicio.
Thesis title: Metapopulation model of spread of Bovine Brucellosis in movement networks of cattle.
Advisors: Prof. Graciela Ana Canziani & Prof. María Verónica Simoy.
Topic: Transmission dynamics model of Bovine Brucellosis
Advisors: Mario Ignacio Simoy & Juan Pablo Aparicio. INENCO - CONICET
I’m building this section! It’ll be ready asap!