The Team


Andrea Ganna - Team Lead

Andrea is an EMBL-group leader at FIMM and an instructor at Harvard Medical School and Massachusetts General Hospital. Previously he did his post-doc at the Analytical and Translation Genetic Unit at Massachusetts General Hospital/Harvard Medical School/Broad Institute and his PhD at Karolinska Institute. His research interests lie on the intersection between epidemiology, genetics and statistics. Andrea have authored and co-authored both methodological and applied papers focused on leveraging large scale epidemiological datasets to identify novel socio-demographic, metabolic and genetic markers of common complex diseases. He has extensive expertise in statistical genetics and have been working with large-scale exome and genome sequencing data, focusing on ultra-rare variants in coding and non-coding regions. His research vision is to integrate genetic data and information from electronic health record/national health registries to enhance early detection of common diseases and public health interventions.


Vincent Llorens - IT specialist

Vincent has graduated as an engineer from INSA Lyon with a master's degree in bioinformatics.

After his studies, Vincent worked as software developer and system administrator. He has extensive expertises in cloud computing and database design. He worked at CCIN2P3 data center, helping to migrate CERN computing to the cloud, as part of a h2020-founded project.

He is currently working at FIMM building the Risteys web portal to explore nation-wide disease trajectories and allow exploration of Finngen longitudinal data.


Joona Savela - Visiting summer student

Joona is a student at Aalto University School of Science, his major being Mathematics and minor Computer Science. He has also completed the Self-Driving Car Engineer Nanodegree program by Udacity. He has previously worked as an Assistant Researcher for the Finnish Geospatial Research Institute (FGI).

He is currently working on developing and applying new methods to generate synthetic biomedical data.


Mattia Cordioli, PhD candidate

Mattia has graduated in Bioengineering from University of Pavia. For his master’s thesis, he has been a visiting student at Bioinformatics Lab of Prof. Blaž Zupan, University of Ljubljana, working on the development of deep learning models for molecular fingerprinting.

After his graduation, he worked as a research fellow at IRCSS Policlinico San Matteo Foundation, Pavia, focusing on leveraging and integrating hospital data for epidemiology, in particular for the surveillance and prediction of nosocomial infections outbreaks.

He is currently working on applying AI methods to model health trajectories and exploring their interplays with polygenic risk scores.