Starts 2 Feb 2026
Ends 13 Feb 2026
America/Havana
International School on Statistical Inference from Biological Data | (smr 4187)
Havana - Cuba
Universidad de la Habana
The call for applications is open. Please click on 'Apply here' to submit your application.
The last two decades have witnessed giant experimental breakthroughs in different areas of the life sciences, from genomics to epidemiology. Thanks to modern high-throughput techniques, biological systems across multiple scales –from single molecules up to entire populations– can now be probed quantitatively at high spatial and temporal resolutions.These data potentially encode a plethora of information about the functional constraints that govern its evolution and the physical constraints that limit its performance. Extracting this information is also crucial for applications ranging from the design of proteins with a desired functionality to the reconstruction of contacts during epidemics. Inverse statistical mechanics attempts to do it by inferring generative models from data using methods from the physics of disordered and random systems but more recently also exploring AI approaches. Specific characteristics of biological data however, like strong undersampling and heterogeneity, limit the effectiveness of these tools. The school will explore the oppourtinies and limits of statistical inference across biological systems and applications
Speakers:
A. BRAUNSTEIN, Politecnico di Torino, Italy
C. BOSIA, Politecnico di Torino, Italy
D. DE MARTINO, Biofisika Institute - Ikerbasque, Spain
J. FERNANDEZ-DE-COSSIO-DIAZ, Université Paris-Saclay, France
L. FERRETTI, Oxford University, UK
A. FUENTES-HERNANDEZ, UNAM, Mexico
J. GRILLI, ICTP, Italy
A. INGROSSO, Radboud University, Netherlands
C. LUCIBELO, Bocconi University, Italy
D. THIEFFRY, ENS, France
M. WEIGT, Sorbonne University, France
Research abstracts: In the application form, all applicants are requested to submit a brief research abstract for a poster presentation and/or contributed talk. A limited number of abstracts will be selected for the poster session or to give a talk. Please use ICTP templates available for download here and below under 'Material'.
Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee.
The last two decades have witnessed giant experimental breakthroughs in different areas of the life sciences, from genomics to epidemiology. Thanks to modern high-throughput techniques, biological systems across multiple scales –from single molecules up to entire populations– can now be probed quantitatively at high spatial and temporal resolutions.These data potentially encode a plethora of information about the functional constraints that govern its evolution and the physical constraints that limit its performance. Extracting this information is also crucial for applications ranging from the design of proteins with a desired functionality to the reconstruction of contacts during epidemics. Inverse statistical mechanics attempts to do it by inferring generative models from data using methods from the physics of disordered and random systems but more recently also exploring AI approaches. Specific characteristics of biological data however, like strong undersampling and heterogeneity, limit the effectiveness of these tools. The school will explore the oppourtinies and limits of statistical inference across biological systems and applications
Speakers:
A. BRAUNSTEIN, Politecnico di Torino, Italy
C. BOSIA, Politecnico di Torino, Italy
D. DE MARTINO, Biofisika Institute - Ikerbasque, Spain
J. FERNANDEZ-DE-COSSIO-DIAZ, Université Paris-Saclay, France
L. FERRETTI, Oxford University, UK
A. FUENTES-HERNANDEZ, UNAM, Mexico
J. GRILLI, ICTP, Italy
A. INGROSSO, Radboud University, Netherlands
C. LUCIBELO, Bocconi University, Italy
D. THIEFFRY, ENS, France
M. WEIGT, Sorbonne University, France
Research abstracts: In the application form, all applicants are requested to submit a brief research abstract for a poster presentation and/or contributed talk. A limited number of abstracts will be selected for the poster session or to give a talk. Please use ICTP templates available for download here and below under 'Material'.
Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee.
Organizers
De Martino Andrea (Politecnico di Torino), Mulet Genicio Roberto (University of Havana), ICTP Scientific Contact: Jacopo Grilli (ICTP)