Leadership & mentoring
Building teams for hard measurements
I lead experimental, computational, and theoretical programs by defining a shared quantitative question, assembling complementary capabilities, and keeping measurement, model, and inference connected from the outset.
Scientific leadership
Biophysical & Biomedical Measurement at NIST
I direct NIST’s primary group for physical measurements in biology. The group brings together physical scientists, biomedical engineers, associate researchers, and theorists to develop devices, measurement methods, and quantitative frameworks across biomolecules, cells, and tissues. Programs include cytometry, single-molecule sensing, electronic biophysical measurements, organ-on-chip systems, and quantitative response to drugs and other perturbations.
My role is to set multi-year scientific strategy, develop new programs, manage resources and staffing, connect experimental projects to quantitative theory, and create collaborations that allow capabilities distributed across institutions to function as an integrated program.
Program building
Creating structures that enable collaboration
I spearheaded a clearer framework for defining NIST’s role in funded collaborations with academic and clinical partners. This has helped make responsibilities and contributions to shared experimental programs more concrete from the outset.
I now participate as a Co-Investigator on a Wake Forest-led NIH U01 in human biodosimetry, contributing NIST measurement and modeling capabilities within the broader team. More generally, I develop research roadmaps that connect near-term measurements and publications to longer-term capabilities in high-throughput measurement, hierarchical biological systems, and experimental biomolecular dynamics.
Leadership principles
Organizing research
Start with the quantity
Define what must be measured or inferred before selecting an instrument, dataset, model, or algorithm.
Align teams and data
Experimentalists, theorists, and data scientists work best when signals, assumptions, metadata, and uncertainty are shared objects rather than handoffs.
Build methods that last
A successful project should create not only a result, but also a method, framework, dataset, or collaboration structure that enables the next problem.
Mentoring
Selected mentoring
My mentoring spans biomolecular simulation, nanoscale transport, spectroscopy, quantum information, and scientific method development. This list highlights research themes rather than attempting to reproduce an institutional staff directory.
Research opportunities
NRC postdoctoral opportunities at NIST
The National Research Council Research Associateship Program provides a route for postdoctoral researchers to pursue independent work with NIST advisers. Two current opportunities connect directly to the research themes on this site.
Theoretical Nanoscale Biophysics
Theory and computation for biomolecular folding and assembly, molecular simulation, interpretable representations, nanopore transport, and measurement-linked modeling.
View the NRC opportunity →
Quantum Transport, Control, and Sensing
Theory and computational methods for quantum transport, tensor networks, many-body dynamics, sensing, control, and links to experimental nanoscale systems.
View the NRC opportunity →
Teaching
From physical intuition to working methods
As an Assistant Professor of Physics at Oregon State University, I designed and taught graduate courses and maintained an average teaching evaluation of 5.4/6.0. My teaching emphasizes the movement between physical intuition, mathematical structure, computational implementation, and experimental consequence.
Students should leave a course able not only to reproduce a derivation, but to recognize the assumptions that make it useful, test its limits, and translate it into a calculation or measurement.