Duccio Medini will be visiting the Centre on Thursday 13th May at 4.00 pm in MOAC to give a seminar focussing on the experimental techniques they use and the quantitative methods used in data analysis.
Title: Quantitative Methods for Vaccine Research: Pan-genomes, homology networks and predictors of immunity
Abstract:
Vaccinology is a field of bio-medical research involving the interaction of two distinct and complex entities: the structured, often variable and short-lived population of pathogens, and the diverse, structured and long-lived population of human hosts. To make the puzzle even more intricate, host-pathogen interaction is perturbed by vaccination in an intrinsically longitudinal manner: the pathogen is studied today, to vaccinate a subject tomorrow, to eventually protect him from infection. Over the last decade, quantitative methods ranging from quantitative genomics to biometry, to systems biology, have become the key to decipher the puzzle. We will consider a few practical examples: i) the concept of pan-genome, i.e. the finding that the genetic repertoire associated with a bacterial species can be potentially unbounded, and its impact on vaccine discovery, ii) the protein homology network as a tool to reduce the complexity of the whole bacterial pan-genome into coherent families of proteins evolved from a common ancestor, iii) predicting the rise of protective antibodies and persistence of immunologic memory in individual vaccines one year after the first immunization.
About
Duccio Medini is currently Head of the Genomics II Lab at Novartis Vaccines and Diagnostics
Having completed his first degree in Theoretical Physics at Università degli Studi di Perugia, Duccio began his PhD in Biophysics there, moving to Northeastern University to complete it in 2001. Since then Duccio has worked as a Research Scientist at Chiron Vaccines, then Senior Scientist at Novartis, to his current role as Head of the Genomics II Lab.
Duccio's research focuses on bioinformatic approaches to study bacterial genomics and, to some extent, non-clinical biostatistics. Main areas of interest are population genomics, evolutionary biology, reverse vaccinology, pan-genomic models, protein families generation with network-theory approaches, correlations between sequence variability and phenotypic traits. His academic background is in theoretical physics and in computational biophysics.
Specialties
vaccine research, bioinformatics, population genomics, biostatistics