Reid Van Lehn

The Van Lehn group uses molecular simulations and machine learning methods to develop processes and materials for detecting and separating PFAS. Recent efforts have focused on the design of responsive soft materials capable of detecting low PFAS concentrations in environmentally relevant water sources, new processes for the solvent extraction of PFAS from plastic waste, and machine learning methods to categorize PFAS compounds based on their chemical similarity.