Bioinformatics
Andrea Spitaleri
Email: spitaleri.andrea@hsr.it
Location: DIBIT2 A1, Floor 3, Room 21
Computational biologist, Bioinformatics
Andrea Spitaleri is a computational scientist working at the intersection of basic and applied research. He has experience in research environment in both academia and the pharmaceutical industry. He has been Principal Investigator AIRC and co-founded the start-up BiKi Technologies srl in which novel algorithms molecular dynamics based provide pharmaceutical and biotech companies innovative computational solutions.
He earned a Degree in Chemistry in 1999 at the University of Pisa and was awarded two fellowships in organic synthesis at University of Pisa Department of Pharmacy (ITA) and EPFL of Lausanne (CH) in 2000 and 2001. He received a PhD in computational chemistry (drug polymorphism) in 2006 at the University of Sheffield (UK) and was awarded a postdocs fellowship in the Astrazeneca studying crystal packing determination and protein-ligand interaction in drug design (Alderley Park, UK). Then he has spent 10 years at the San Raffaele Foundation (Milan, ITA) in direct contact with clinical research, during which he has been visiting researcher at Utrecht University (NL) and CNIO Madrid (ES) and Principal Investigator of AIRC project. He has spent 5 years at IIT in the Drug and Discovery Department to study new enhance methodology in drug design, where he co-founded the startup BiKi Tecnologies s.r.l to provide the pharmaceutical and biotech industry with innovative computational tools based on molecular dynamics. Since 2018, he is a computational biophysicist working on antimicrobial resistance (AMR) at Emerging Bacterial Pathogens Unit under the supervision of Dr. Daniela Cirillo. His main project is to study AMR for Tuberculosis and nosocomial pathogens.
His main interests are conformational search and analysis, protein-ligand and protein-protein interactions, rare events, novel scoring function in docking, antimicrobial resistance study by WGS study (Illumina and Nanopore Technologies)
His expertise ranges from statistical mechanics to molecular dynamics to physical chemistry, protein-protein, protein-DNA, protein-RNA and protein-ligand interaction study, pattern recognition and computer programming. He handles a variety of programming languages (e.g. Python, Perl, R) and scripting languages (e.g. Bash, AWK, Tcl).