University of Arkansas Logo
Biomolecular Simulations Group

Curtis Goolsby

Curtis Goolsby


Curtis is an avid reader and explorer. His interests are wide and varied but his work in computational chemistry has ranged from developing new force fields for water to simulating large protein systems. Currently he is finishing a PhD focusing on theoretical utilization of Markov Models while working as a DevOps engineer at a major tech company.


Markov State Models for Protein Dynamics

We develop Markov state models techniques to analyze the underlying dynamics of large protein dynamics simulations utilizing various enhanced sampling techniques. In addition, we have developed Riemannian formalisms for coarse variable spaces in diffusive models. Both of these spaces hold great promise for utilization in the work of experimentalists. As such we work to provide these techniques and formalisms in code packages that others may use without difficulty.

Copyright © 2015, Biomolecular Simulations Group, Department of Chemistry and Biochemistry, University of Arkansas.
These materials are not endorsed, approved, sponsored, or provided by or on behalf of the University of Arkansas, Fayetteville.
For more information, please contact