Enthusiastic doctoral student striving to apply cutting-edge artificial intelligence technologies to create meaningful impact in biomedical research.
Overview
9
9
years of professional experience
Work History
PhD in Bioengineering, Bioinformatics and Health Technologies
University of Pavia in collaboration with enGenome S.r.l.
04.2024 - Current
Development and benchmark of generative AI models for analyzing and integrating multi-omics data
Application of Large Language Models for information extraction and summarization of papers from the published medical literature
Master's thesis internship
enGenome S.r.l.
09.2023 - 04.2024
Exploration of public biomedical databases (NCBI, TCGA, dbGaP) for analysis and preprocessing of multi-omics datasets
Use of bioinformatics tools and development of custom pipelines in Python and R
Testing, debugging and benchmarking of Deep Learning and Generative AI models
Use of High Performance Computing infrastructure
Co-founder and CTO
Uman S.r.l.
08.2022 - 04.2024
Full stack development of SaaS products
Customer discovery and validation
Company management
Tutor of “Fundamentals of Computer Science”
University of Pavia
03.2020 - 09.2020
Software developer
LimesFarm
06.2018 - 10.2018
Development of a system to manage access to the building based on a Raspberry Pi connected to a fingerprint sensor and communicating with a Flask server
High School Internship
Pan Chemicals S.p.A.
06.2016 - 06.2016
Laboratory analysis of inorganic materials
Education
Master's degree - Computer Engineering - curriculum Data Science
University of Pavia
Pavia, Italy
04.2024
Bachelor's degree - Electrical and Computer Engineering
“AI models predicting methylation status from DNA sequence: what is missing?” A. S. Blindu, S. Berardelli, F. De Paoli, R. Tricarico, S. Zucca and P. Magni (short paper accepted for AIME conference)
“Generative AI meets genomics: VarChat, a RAG-based approach for literature-driven variant summarization” F. De Paoli, S. Berardelli, A. Tudisco, A. S. Blindu, E. Parimbelli and S. Zucca (short paper accepted for AIME conference)
“VarChat: leveraging generative AI to enhance genomic literature retrieval and summarization” F. De Paoli, S. Berardelli, A. Tudisco, A. S. Blindu, E. Rizzo, I. Limongelli, S. Zucca (abstract accepted for ESHG conference)
“FIRE: a decision tree algorithm for automating oncogenicity classification of cancer somatic variants using the ClinGen/CGC/VICC framework” M. Tulino, S. G. De Micco, A. S. Blindu, F. De Paoli, I. Dorna, F. Manai, R. Tricarico (abstract accepted for ESHG conference)
“A benchmark of LLMs on the embedding and prioritization of text chunks from genomic scientific literature” A. S. Blindu, A. Tudisco, S. Berardelli, F. De Paoli, S. Zucca and P. Magni (abstract submitted for CIBB conference)
“Exploring the impact of DNA methylation on gene expression in cancer: a computational approach for identifying epigenetically regulated genes in multi-omic datasets” A. S. Blindu, S. Berardelli, F. De Paoli, R. Tricarico, S. Zucca and P. Magni (paper in writing)
Awards
Speaker TEDxYouth@Bologna 2016
Languages
Italian
Bilingual or Proficient (C2)
English
Advanced (C1)
Rumenian
Bilingual or Proficient (C2)
Spanish
Elementary (A2)
Timeline
PhD in Bioengineering, Bioinformatics and Health Technologies
University of Pavia in collaboration with enGenome S.r.l.
04.2024 - Current
Master's thesis internship
enGenome S.r.l.
09.2023 - 04.2024
Co-founder and CTO
Uman S.r.l.
08.2022 - 04.2024
Tutor of “Fundamentals of Computer Science”
University of Pavia
03.2020 - 09.2020
Software developer
LimesFarm
06.2018 - 10.2018
High School Internship
Pan Chemicals S.p.A.
06.2016 - 06.2016
Master's degree - Computer Engineering - curriculum Data Science
University of Pavia
Bachelor's degree - Electrical and Computer Engineering
Internship as a Biotechnologist Researcher at University of Pavia, Plasmore CompanyInternship as a Biotechnologist Researcher at University of Pavia, Plasmore Company