Accessing the dynamical foundations of biology
Our research seeks a predictive understanding of biomolecular dynamics and mechanisms that underlie biological function and shape evolution.
We are bringing together data science, deep learning, and NMR spectroscopy.
Deep learning: a 10,000-ft view of all known data and patterns.
NMR: an intimate view of biomolecules' motions, interactions, and timing.
We are based at UW-Madison Biochemistry
and affiliated with Biostatistics and Medical Informatics.
Data junkie in chief
hannah.waymentsteele (at) wisc.edu
Postdoc: Brandeis
PhD: Chemistry, Stanford
BA: Chemistry / Math, Pomona College
Zhao C, El Nesr G, Chen Y, Wayment-Steele HK. Learning the limits of protein structure models with NMR chemical shifts. BioRXiv 2026
El Nesr G, Wayment-Steele HK. Makeshift: a lightweight software for accessing and analyzing NMR data and protein dynamics. BioRXiv 2026
Xu Y, Pai N, Wayment-Steele HK. Disentangling RNA evolution and thermodynamics in genomic language models. BioRXiv 2026
We welcome applicants with backgrounds in computation, experiment, and any mix of the two!
Interested PhD applicants are encouraged to apply to the
Biophysics,
the Integrated Program in
Biochemistry,
and/or the
Biomedical Data Science
PhD programs.
2204 Biochemical Sciences Building, 440 Henry Mall, Madison, WI 53706-1544