PERSONAL STATEMENT
I developed an interest in quantitative biology from a background in condensed matter physics. One of my major research goals is to identify the protein sequence features responsible for distinct biological function in different protein families. Unveiling these sequence-function relationships is, in my view, one of the major milestones to advance the field of computational biology. The copious amount of information about sequences, structures, and atomistic molecular dynamics trajectories that became available in the last few years holds promise to render this Holy Grail a reachable scientific goal. However, while these data brings us into a new and exhilarating era of the life sciences, there is a need to organize the newly acquired knowledge into a solid and coherent framework. As in many other fields of investigations concerned with complexity, the rules governing the interactions among the constituents of biological systems are becoming accessible to empirical analysis thanks to approaches based on logical induction and statistical inference. Due to the high-dimensional nature of these problems, statistical physics appears as a natural methodological choice thanks to its ability to relate microscopic interactions to the emergent, collective behavior of many-body systems. My research is especially focused on the physico-chemical underpinnings of ion transport across lipid membranes. This molecular process is one of the cornerstones of cell physiology: the distinctive feature of living matter is the ability to maintain different chemical conditions in different compartments and to change these conditions in a highly controlled fashion. Accordingly, ion channels and transporters are ubiquitously present in all organisms from the three domains of life and show recognizable sequence conservation over periods of time of the order of billions of years. Highlighting evolutionary conserved features in light of an atomic-level description of their molecular mechanism is my major strategy to formulate hypothesis and build predictive models to investigate the function of these proteins. |
EDUCATION
Dec 2007 |
PhD (summa cum laude) Statistical and Biological Physics Sector, International School for Advanced Studies (SISSA/ISAS), Trieste, Italy Thesis title: “Biological Function of HIV-1 Enzymes Explored by Computational Methods.” Supervisors: Paolo Carloni and Cristian Micheletti |
Jan 2003 |
M. Sc. – Physics – University of Pisa, Pisa, Italy Thesis title: “Two Dimensional Wigner Crystal of Paired Electrons in a Perpendicular Magnetic Field: Dynamics in the Dipolar Approximation.” Supervisor: Mario P. Tosi |
Nov 2001 |
B.Sc. – Physics – University of Pisa, Pisa, Italy |
CURRENT POSITION
July 2022 – |
Associate Professor. Institute for Computational Molecular Science, College of Science and Technology & Institute for Genomics and Evolutionary Medicine, Temple University. Philadelphia USA |
PREVIOUS POSITIONS
Aug 2011 – June 2015 |
Research Assistant Professor. Institute for Computational Molecular Science and Department of Biology, Temple University. Philadelphia USA |
Sep 2009 – Jul 2011 |
Postdoctoral Researcher, Institute for Computational Molecular Science and Department of Chemistry, Temple University, Philadelphia USA |
Jan 2008 – Aug 2009 |
Postdoctoral Researcher, Department of Chemistry, University of Pennsylvania, Philadelphia USA |
FELLOWSHIPS AND AWARDS
Nov 2002 – Dec 2002 |
Research fellowship INFM-NEST, Scuola Normale Superiore, Pisa, Italy; subject: “Two-dimensional Electron Crystals in Perpendicular Magnetic Field" |
Apr 2002 – Nov 2002 |
Undergraduate student research grant INFM-NEST, Scuola Normale Superiore, Pisa, Italy; subject: “Electron Gas in Magnetic Field" |
Jun 2005 |
Travel award, International School of Solid State Physics, Erice, Italy |
TITLES AND AFFILIATIONS
Mar 2017– |
Abilitazione Scientifica Nazionale II Fascia in “Fisica Teorica della Materia” (Italian national scientific qualification as Associate Professor in “Theoretical Physics of Condensed Matter Systems”) |
Apr 2014 – |
Adjunct graduate faculty Graduate School at Rutgers University-Camden |
TEACHING ACTIVITIES
Jan 2018 – June 2018 |
Fundamentals of Condensed Matter Physics (Chemistry graduate) |
Jan 2012 – |
Structural Bioinformatics (Biology graduate) |
Sep 2010 – Dec 2010 |
Statistical Physics (Chemistry graduate) |
Aug 2018 – |
Member steering committee Professional Science Master’s in Bioinformatics |
May 2018 – |
Member steering committee PhD program in Bioinformatics |
SUPERVISION OF STUDENTS AND POSTDOCS
Postdocs:
Graduate students:
Graduate students mentored as external co-advisor (collaborator):
Master’s students:
Undergraduate students:
Graduate students mentored as thesis committee member:
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EDITORIAL AND PANELIST ACTIVITIES
Peer reviewer activity:
Guest editor:
Member of Editorial Board:
External reviewer:
Panel member:
Conference organization:
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INVITED TALKS
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