Fabio Luciani
University of New South Wales, NSW, Australia
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- This delegate is presenting an abstract at this event.
Dr Fabio Luciani was trained as theoretical physicist (Masters), theoretical biologist (PhD 2006 from the Humboldt University of Berlin [Germany]). His research interests include adaptive immune responses against pathogen infections, computational models for studying host-pathogen interactions, and bioinformatics analysis of high throughput next generation sequencing data.
Dr Luciani has applied mathematical modelling to understand infectious diseases, focussing on transmission dynamics of drug resistant mycobacterium tuberculosis, and the transmission of hepatitis C virus among injecting drug users.
He has made several contribution in how HCV infect a new host and the role of T cell mediated responses using next generation sequencing technologies, flow cytometry and statistical modelling.
More recently, he has moved into single cell genomics and systems immunology approaches to understand T cell dynamics.
Abstracts this author is a contributor to:
Linking the single cell transcriptome to the surface phenotype in antigen-specific human T cells (24086)
11:14 AM
Fabio Luciani
Single Cell Technologies and Genomics
A bioinformatics pipeline for simultaneous characterization of surface phenotype and gene expression profile of T cells with index sorting and scRNA-seq (24114)
11:36 AM
Simone Rizzetto
Research Cytometry