Alessandra Carbone (Sorbonne Université, France)

Talk: Sequence space and deep learning to better understand proteins.

Short bio. Alessandra Carbone is professor at the Department of Computer Science – Sorbonne Université. Her main research areas are combinatorial and ctatistical methods in molecular biology, algorithms in computational biology, DNA nanotechnologies and DNA tiling, proof theory and complexity theory, graph theory, and finite automata and symbolic dynamics.

Gabriela Chiosis (Memorial Sloan Kettering Cancer Center, USA)

Talk: Targeting and controlling protein-protein interaction networks in disease

Short bio. The Chiosis lab uses a chemical biology approach to understand, diagnose, and treat cellular processes associated with chronic molecular stress, with the ultimate-goal of developing therapeutics and diagnostics for use in the treatment of human disease. The lab has authored >165 scientific articles on biomedical subjects from probe and drug discovery to mechanistic and translational investigations. It holds >500 patents and patent applications on to the discovery of therapeutic agents and diagnostics in human medicine, and also related to methods of treatment. These innovations provide a platform for precision medicine for diagnosis and treatment of disease that is based on the aberrant properties of protein-protein interaction networks. Compounds and diagnostics discovered by the lab are currently in clinical evaluation in cancer and Alzheimer’s disease under license to Samus Therapeutics, a company Dr. Chiosis is a founding member.

Alfonso Rodríguez-Patón (Universidad Politécnica de Madrid, Spain). CANCELED.

Talk: GRO: a multicell bacterial simulator

Short bio. Alfonso Rodrigues-Patón is full Professor at Universidad Politécnica de Madrid (UPM) and the director of the Artificial Intelligence Lab in the UPM: www.lia.upm.es. His main research interest lies in the interplay of computer science, biology, and engineering. His topics of research are Synthetic Biology, Systems Biology, DNA computing, and application of artificial intelligence techniques to biomedical problems.

Erik Sonnhammer (Stockholm University, Sweden)

Talk. How to infer accurate gene regulatory networks from gene expression.

Short bio. Erik Sonnhammer is Professor of Bioinformatics at Stockholm University, and previously had the same position at Karolinska Institutet, Stockholm. He did a Ph.D. in bioinformatics at the Sanger Institute in Cambridge, England. His research interests are in network and systems biology as well as protein evolution and function.