Nathan Mahynski

I am computational chemical engineering at the National Institute of Standards and Technology (NIST). My research interests broadly incorporate chemometrics, machine learning, and molecular simulation to study problems in material science, identify patterns in biological systems, and predict fluid phase thermodynamics. Examples include the rational design of self-assembling colloidal systems, predicting the provenance of foods, and developing tools to predict multicomponent equations of state.