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
Chen Y, Lu T, Zhao C, Wayment-Steele HK, Huang P. SLAE: Strictly Local All-atom Environment for Protein Representation. BioRXiv 2025
Wayment-Steele HK, Ovchinnikov S, Colwell L, Kern D. Does sequence clustering confound AlphaFold2? JMB 2025
Wayment-Steele HK#, El Nesr G#, Hettiarachchi R, Kariyawasam H, Ovchinnikov S & Kern D. Learning millisecond protein dynamics from what is missing in NMR spectra. BioRXiv 2025
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