Keegan Hines

Scientific Interests

My research focus in graduate school has been in modeling the biophysics of protein signalling and conformational change. I've been particularly interested in approaching basic questions of protein biophysics with methods developed in the statistics and machine learning communities.

I am currently working on applying nonparametric Bayesian methods to the analysis of single molecule time series. Below are some finished projects.


A Primer On Bayesian Inference For Biophysical Systems

Keegan Hines

Biophysical Journal, May 2015

Analyzing Single-Molecule Time Series via Nonparameteric Bayesian Inference

Keegan Hines, John Bankston, Rick Aldrich

Biophysical Journal, February 2015

Bayesian Approaches for Modeling Protein Biophysics

Keegan Hines

My disseration, a real page turner.

Determination of parameter identifiability in nonlinear biophysical models: A Bayesian Approach

Keegan Hines, Tom Middendorf, Rick Aldrich

Journal of General Physiology, March 2014

Inferring subunit stoichiometry from single molecule photobleaching

Keegan Hines

Journal of General Physiology, June 2013


Here is a current academic CV, and a more succinct resume.