Thomas C. Allison, Ph.D.

Dr. Allison is a senior computational chemist and an expert on machine learning with NIST’s Chemical Informatics Group. His research interests include studies of nanoparticles, electrochemistry, solvation thermodynamics, and development of semiempirical quantum chemistry methods.

His current projects include studies of the Fukui function applied to transition metal nanoparticles, the aqueous solvation thermodynamics of ATP and related biomolecules, and the development of convenient methods for parameterizing tight binding models.

He co-teaches with Dr. Gonzalez EMAP 517 Introduction to Data Science and Machine Learning for Environmental Metrology.