Andrea Cavalli

Andrea Cavalli is a Group Leader in Computational Structural Biology at the Institute for Research in Biomedicine (IRB), which is affiliated with Università della Svizzera italiana (USI) in Bellinzona, Switzerland. He joined IRB as an Associate Member in December 2012 and was appointed as Group Leader in June 2016. His research group focuses on integrating computational approaches with experimental methodologies to understand molecular structures and their functional implications in biological and pathological processes.

Dr. Cavalli earned his degree in theoretical physics at the ETH in Zurich in 1995 and completed his Ph.D. in mathematics in 2001. Following his doctoral studies, he worked with Amedeo Caflisch at the University of Zurich before joining the research groups of Christopher Dobson and Michele Vendruscolo at the University of Cambridge in 2004. During his time at Cambridge, he was supported by an Advanced Researcher Fellowship from the Swiss National Science Foundation. His early work focused on developing theoretical and computational methods for protein structure determination from sparse experimental data, which led to the development of the CHESHIRE method for accurate protein structure determination using NMR chemical shifts.

Dr. Cavalli's research integrates cutting-edge computational approaches, including molecular dynamics simulations and machine learning, with interdisciplinary experimental methodologies. His work bridges the gap between molecular structure and functional implications, with applications in drug discovery and therapeutic development. The research spans multiple areas including protein folding, protein-protein interactions, computational drug design, and structural analysis of biological macromolecules. His group has made significant contributions to understanding protein dynamics, developing computational methods for structure determination, and applying these approaches to biomedical problems ranging from cancer research to infectious diseases.

Analysis of Dr. Cavalli's recent publications reveals a strong focus on computational approaches to biomedical problems, with particular emphasis on protein structure-function relationships, peptide and small molecule design, and applications in cancer research, immunology, and infectious diseases. His work often combines computational modeling with experimental validation, demonstrating a multidisciplinary approach to solving complex biological problems. The research spans structural biology, computational chemistry, and translational medicine, with increasing applications in drug discovery and therapeutic development.

• Advanced Researcher Fellowship from the Swiss National Science Foundation
• Development of the CHESHIRE method for protein structure determination

As Group Leader at IRB, Dr. Cavalli oversees a research team that combines expertise in computational biology, structural biology, and drug design. His laboratory utilizes advanced computational techniques including molecular dynamics simulations, machine learning algorithms, and structure-based drug design approaches. The group collaborates extensively with experimental laboratories both within IRB and at other institutions to validate computational predictions and translate findings into biomedical applications. Current research directions include developing computational methods for protein structure determination, designing peptide inhibitors for therapeutic applications, and applying computational approaches to understand disease mechanisms and identify potential therapeutic targets.