About
A physicist connecting biological measurement, data, and computation
Michael Zwolak is a physicist and biophysical measurement scientist whose work connects experiments, data, theory, and computation. At NIST, he leads a research portfolio spanning biomolecules, cells, and tissues.
Scientific identity
A common question across fields
My research has introduced methods for efficient quantum-transport simulation, quantitative ion-transport modeling, interpretation of biomolecular spectroscopy, measurement of DNA folding and damage, and compressed representations of nucleic-acid ensembles.
Although these subjects span quantum information, molecular physics, biophysics, and measurement science, they share a single organizing question: What is the natural measurement or representation that makes a complex system tractable, interpretable, and predictive?
This perspective now drives work on biological data quality, quantitative cytometry, interpretable biomolecular representations, and the information structure that determines the cost of scientific algorithms.
Career
A path from quantum information to biometrology
Caltech
Ph.D. in Physics, with work on tensor-network simulation, open quantum systems, and quantum information.
Los Alamos
Feynman and Director’s Fellow developing methods for nonequilibrium quantum dynamics, nanoscale transport, and biomolecular systems.
Oregon State
Assistant Professor of Physics leading research on biomolecular transport, nanoscale systems, and quantum foundations.
NIST
Project Leader from 2014 and Group Leader from 2018, integrating experimental measurement programs with quantitative theory and computation.
Scientific breadth
B.S. degrees in Chemical Engineering and Chemistry, a B.A. in Philosophy (Honors), and minors in Mathematics and Physics from Virginia Tech.
Current objective
Build an unbroken chain from physical measurement to trustworthy data, mechanistic understanding, and prediction.
Professional profile
Research, leadership, and collaboration
I lead a research portfolio spanning biomolecules, cells, and tissues and work across organizational and disciplinary boundaries. My collaborations have included experimental biophysics, radiation dosimetry, chemical physics, nanofluidics, quantum information, and algorithm development.
The personal website presents my own research and professional trajectory. For the official description of my NIST role and group activities, use the NIST links below.
Why measurement science matters: a model cannot become trustworthy by architecture alone. Its claims depend on whether the underlying observations are quantitative, comparable, sufficiently documented, and connected to the intended biological or physical inference.