Quantitative Life Sciences at ICTP

ICTP is widely regarded as an extraordinary environment for advancing knowledge in the physical and mathematical sciences, with a permanent faculty of distinguished scientists who conduct rigorous world-class, curiosity-driven research in frontier and interdisciplinary topics ranging from string theory, cosmology, and black holes to quantum computing, climate science, and quantitative life sciences.

As science evolves to investigate new problems and answer new questions, so has the research carried out at ICTP. Founded by theoretical particle physicist and Nobel Prize Laureate Abdus Salam, over time ICTP has evolved to encompass a wide range of research areas in physics, including applications of science technology.

The Quantitative Life Sciences (QLS) section focuses on problems at the interface between statistical physics, biology, ecology, neuroscience, information theory and artificial intelligence. Research areas include quantitative ecology and evolution; emergent collective behaviour in interacting agent systems; efficiency of neural computation; high-dimensional statistics, inference, and theory of machine learning; stochastic thermodynamics; and the physics of behaviour and sensing.

ICTP is glad to release a new video featuring ICTP Senior Research Scientist Antonio Celani, Head of the QLS section, as he presents the topics that researchers in the section explore.

During the whole week of 27 May, ICTP will be sharing content related to the QLS section on its website and on social media. Follow us on Instagram, Facebook, X and Linkedin to learn more about ICTP’s research sections and explore the fascinating science done at ICTP.