NIST Faculty
The National Institute of Standards and Technology (NIST) is the Nation’s ultimate scientific authority in validating and upholding the state-of- the-art science of measurements – metrology. From the air and water quality, smart electric power grids to advanced nanomaterials, innumerable products and services rely in some way on technology, measurement, and standards provided by the National Institute of Standards and Technology.
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 EMAP 5517 Introduction to Data Science and Machine Learning for Environmental Metrology with Dr. Gonzalez.
Regina Easley, Ph.D.
Dr. Regina Easley is a research chemist in the Inorganic Measurement Science Group under the Chemical Sciences Division. Her current research focuses on the traceability of pH measurements in seawater by combining electrochemistry, spectrophotometry, and quantitative nuclear magnetic resonance spectroscopy (qNMR). As an analytical chemist, Regina has extensive experience in physical organic chemistry and environmental chemistry. While an oceanographer, she participated in several research cruises and freshwater field deployments to examine nutrient concentrations and the inorganic carbon dioxide system using novel in situ sensors. Her career path has been highlighted by American Chemical Society’s C&CN.
Carlos Gonzalez, Ph.D.
Dr. Gonzalez joined NIST in 1997 as a member of the Computational Chemistry Group within the Physical and Chemical Properties Division. Dr. Gonzalez was appointed to the position of Chief, Chemical and Biochemical Reference Data Division in 2008. In 2012, Dr. Gonzalez was appointed to the position of Chief, Chemical Sciences Division.
William Guthrie, M.S.
William Guthrie is the Chief of the Statistical Engineering Division. For over 25 years, he has collaborated with NIST scientists and engineers to apply statistical methods to solve problems in semiconductor and microelectronic metrology, building materials research, and chemical metrology. His statistical interests include uncertainty assessment, Bayesian statistics, design of experiments, calibration, modern regression methods, and statistical computation.
Adam L. Pintar, Ph.D.
Adam L. Pintar is a research statistician in the Statistical Engineering Division.He earned a B.S. in 2003 and M.S in 2004 in Mathematics from Pittsburg State University. He also earned a M.S. in 2007 and Ph.D. in 2010 in Statistics from Iowa State University. Adam has been a Mathematical Statistician with NIST’s Statistical Engineering Division since October 12, 2010. He is also a member of the American Statistical Association and the American Society for Quality (ASQ), and is currently serving as the chair for the Statistics Division of the ASQ.
Antonio Possolo, PhD
Dr. Antonio Possolo is a NIST Fellow and the Chief Statistician in the Statistical Engineering Division. Besides his current role at NIST, he has had over 20 years of experience as a statistician in industry (General Electric, Boeing) and as an assistant professor of statistics (Princeton University, and University of Washington). His areas of specialty include spatial statistics and modeling of spatio-temporal phenomena, environmental remote sensing, foundations of probability theory and of statistical inference, and measurement uncertainty. He is also fluent in Portuguese, Spanish, and French.