Argentinian, obtained her PhD in Computational Chemistry at the University of Paris-Saclay. Her research has been for years on the area of Molecular Dynamics, applied first to mechanisms of Mass Spectrometry and later on, to atmospheric chemistry.She is currently working on the development and application of Neural Networks architectures to study chemical reactivity. Finding new fingerprints for chemical systems is one of the key points of her research interest.
Jeeno Jose conducts his postdoctoral research in the Tamar Stein group in the Fritz Haber Center for Molecular Dynamics in the Hebrew University of Jerusalem. His research interests encompass understanding fundamental materials behaviour using ab-inito and classical molecular dynamics simulations, as well as developing machine learning pathways to accelerate molecular dynamics simulations. Before joining the Tamar Stein group, Jeeno received both Masters and Ph.D. from the Indian Institute of Technology Madras, India, for his research in solid-polymer interface mechanical behaviour using classical molecular dynamics in the research group of Dr. Narasimhan Swaminathan.