Orari di ricevimento
Martedì 10-11 previa appuntamento
Curriculum
Department of Biology and Biotechnology “Charles Darwin”, Sapienza University of Rome
livia.perfetto@uniroma1.it | ORCID: 0000-0003-4392-8725
A. Positions and Honors
Academic Positions
2025–present — Associate Professor, Sapienza University of Rome, Italy
2022–2025 — Assistant Professor (RTD-B), Sapienza University of Rome, Italy
2020–2022 — Scientific Consultant, Human Technopole Foundation, Milan, Italy
2017–2020 — Staff Scientist, EMBL-European Bioinformatics Institute (EMBL-EBI), Hinxton, UK
2016–2017 — Postdoctoral Fellow (AIRC Starwood Grant), University of Rome “Tor Vergata”
2014–2015 — Research Fellow (ERC “DEPTH” Project), University of Rome “Tor Vergata”
Visiting and Collaborative Appointments
2020–2023 — Visiting Scientist, EMBL-EBI
2020–2022 — Visiting Scientist, University of Cambridge
Honors and Awards
2025 — Istituto Pasteur Cenci-Bolognetti Research Grant (PI)
2023 — AIRC My First Grant (PI)
2023 — PRIN PNRR National Research Grant (PI)
2022 — Sapienza University Seed Grant (PI)
2015 — AIRC Postdoctoral Fellowship “Starwood Hotels & Resorts” (PI)
B. Education and Training
2014 University of Rome “Tor Vergata” Ph.D. Molecular and Cellular Biology
2010 University of Rome “Tor Vergata” M.Sc. Molecular and Cellular Biology (110/110 cum laude)
C. Personal Statement
I am a computational biologist specializing in causal biological networks, multi-omics data integration, and mechanistic modeling of disease. My research aims to translate molecular systems biology into personalized therapeutic insights by combining experimental evidence curation with computational inference.
I currently lead the SIGNOR Database (Signaling Network Open Resource, Nucleic Acids Research 2023), a major international reference for causal biological interactions. My group at Sapienza focuses on developing methods for network-based interpretation of omics data and precision medicine applications.
Bibliometrics (Scopus): 55 publications | 10,397 citations | H-index: 26
E. Selected Peer-Reviewed Publications ((co)Last/(co)Corresponding Author)
1.Lombardi et al,. Perfetto L. PatientProfiler: building patient-specific signaling models from proteogenomic data. Mol Syst Biol. (2025)
2.Venafra V., Sacco F., Perfetto L. SignalingProfiler 2.0: mechanistic inference from phosphoproteomics, npj Systems Biology & Applications (2024)
3. Iannuccelli M. et al., Perfetto L. Molecular Psychiatry (2024)
4. Lo Surdo P. et al., Perfetto L. Nucleic Acids Research (2023)
5. Latini S. et al., Perfetto L. eLife (2024)
6. Massacci G. et al., Perfetto L. Leukemia (2023)
Insegnamenti
| Codice insegnamento | Insegnamento | Anno | Semestre | Lingua | Corso | Codice corso | Curriculum |
|---|---|---|---|---|---|---|---|
| 10607281 | MOLECULAR BIOLOGY AND APPLIED MOLECULAR BIOLOGY LABORATORY - MOLECULAR BIOLOGY AND APPLIED MOLECULAR BIOLOGY LABORATORY I | 2º | 1º | ENG | Molecular Biology, Medicinal Chemistry and Computer Science for Pharmaceutical Applications - Biologia molecolare, Chimica farmaceutica e Informatica per applicazioni farmaceutiche | 33457 | Curriculum unico |
| 10603328 | BIOLOGIA COMPUTAZIONALE - ELEMENTI DI BIOLOGIA MOLECOLARE | 3º | 1º | ITA | Scienze matematiche per l’intelligenza artificiale | 33593 | Curriculum unico |
| 10600325 | GENOMICA COMPUTAZIONALE - PRINCIPI DI GENOMICA COMPUTAZIONALE | 3º | 2º | ITA | Biotecnologie Agro-Alimentari e Industriali | 33585 | Curriculum unico |
| 10603328 | BIOLOGIA COMPUTAZIONALE - BIOLOGIA COMPUTAZIONALE | 3º | 1º | ITA | Scienze matematiche per l’intelligenza artificiale | 33593 | Curriculum unico |