Principal

Ruy M. Ribeiro

Los Alamos National Laboratory

USA

Dynamical models of within-host viral replication

Mathematical models of viral replication in vivo, and viral interactions with the host afforded a dynamical understanding of viral biology. Application of these ideas, for example during primary infection or following drug treatment, has been used in the last two decades to study the biology of diverse virus. I will discuss, with examples from HIV and hepatitis C virus (HCV) infection, the principles and approach of this methodology. I will also present recent examples of insights into the biology of these viruses and SARS-CoV-2 gained with viral dynamics.

 

Short bio

Ruy M. Ribeiro got his Ph.D. in Mathematical Biology at the University of Oxford, UK. He then joined Los Alamos National Laboratory (LANL) in 2000, as a Postdoctoral Researcher, later becoming a staff scientist working on viral and immune system dynamics. His main research interests are the pathogenesis of infections, and the use of quantitative modeling tools to gain insight into viral and immune system dynamics. His work has always entailed close collaborations with experimental researchers to develop proper statistical and dynamic models to analyze experimental data. His modeling work spans multiple scales from the intracellular (eg. a model of the molecular details of HCV infection) to the epidemiological (including HIV and influenza epidemics). He was Professor of Statistics at the Medical School of the University of Lisbon, while on leave from LANL, between 2017 and 2020. Ruy Ribeiro has over 140 peer-reviewed papers in this area, and he is/was the PI of several research projects funded by the National Institutes of Health, the European Union, and the Department of Energy.

 

ORCID ID: https://orcid.org/0000-0002-3988-8241

 



 

instituto superior de engenharia do porto
Rua Dr. António Bernardino de Almeida, 431
4249-015 Porto, Portugal

 

important dates

 

1 DEC 2019

Abstract submission starts

Proposals for Special Sessions

 

27 MAY 2022

 

Deadline for submissions Early Bird registration

 

13 JUNE 2022

 

Upload of complete extended accepted abstracts (3 pages)

 

15 JUN 2022

 

Camera-ready submission for extended accepted abstracts

 

27 JUN 2022

 

Conference Opening