Vijay Balasubramanian (University of Pennsylvania), Antonio Celani (ICTP), Pratik Chaudhari (University of Pennsylvania), Matteo Marsili (ICTP) and Guido Sanguinetti (SISSA)
05 December 2022 to 16 December 2022
ICTP, Italy and Online

The Winter School on Quantitative System Biology has been held every year since 2012 at ICTP in Trieste, Italy and ICTS in Bangalore, India in alternating years.

The topic of the 2022 School is Machine Learning in Biology.

Machine Learning is increasingly being used in biology, as also in other physical and life sciences, to build predictive models of underlying processes.

This school will combine the knowledge of biologists who work with large and heterogeneous data, of physicists who are experts at modelling such complexity, and of machine learning experts who bring in state-of-the-art methods in statistics. This integrated approach is essential to learn how to tackle these issues and gain a better understanding of key phenomena in biology.


  • V. Balasubramanian, University of Pennsylvania, USA
  • P. Chaudhari, University of Pennsylvania, USA
  • G. Sanguinetti, SISSA, Italy
  • M. Marsili, ICTP, Italy

Local Organizer:

  • A. Celani, ICTP, Italy


  • P. Chaudhari, University of Pennsylvania, USA
  • S. Mukherjee, MPG Leipzig, Germany
  • E. Piasini, SISSA, Italy
  • G. Schweikert, University of Dundee, UK
  • G. Tkacik, IST, Austria
  • C. Tomasetti, City of Hope, Los Angeles, USA
  • C. Vallejos, University of Edinburgh, UK

Scientific Advisory Committee:

  • V. Balasubramanian, University of Pennsylvania, USA
  • A. Celani, ICTP, Italy
  • S. Jain, University of Delhi, India
  • V. K. Krishnamurthy, ICTS, Bengaluru, India
  • M. Marsili, ICTP, Italy
  • M. Thattai, NCBS, Bengaluru, India

Previous editions of this school

This Winter School is part of the joint ICTP-ICTS Programme in Biology.

This is the eleventh school in the series on Quantitative Systems Biology,  held alternately in Trieste and Bengaluru, and will be conducted in hybrid mode this year.

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.

Female scientists are encouraged to apply.

How to apply: Online application

Deadline: 15 October 2022 (Application needing financial support and/or visa)
                15 November 2022 (All other applications)

In-person participation: As regards the COVID-19 policy, we advise you to follow the updated rules available on the ICTP page Access Guidelines for Visitors.

smr3755  ictpit