Daniela Polino is a chemical engineer specializing in molecular modeling of complex chemical systems for energy and industrial applications. She holds a Ph.D. in Industrial Chemistry and Chemical Engineering from Politecnico di Milano. Her doctoral research focused on developing methodologies for accurate estimation of reaction rate coefficients.
Currently, she serves as the head of the Computational Materials Science Laboratory at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI) in Lugano. Her research integrates ab initio methods, molecular dynamics, and machine learning to study catalytic processes, hydrogen production, and sustainable fuels.
