Folly Crawford
Folly Crawford
Graduate Research Assistant

fdc33@cavs.msstate.edu

Office: CAVS 2210-C
Phone:





Biography
Folly Crawford received her B.S. in biological engineering from Mississippi State University.


Research Interest
Folly Crawford is interested in data mining, machine learning, statistics, and injury biomechanics.
Folly's current work is on the application of data mining to understand how experimental conditions affect the stress response of brain tissue during mechanical testing. Her other work includes using molecular dynamics simulations to study the deformation of different lipid types under different loading conditions.




Selected PublicationsTotal Publications by Folly Crawford:  2 
Crawford, F., Fisher, J., AbuOmar, O., & Prabhu, R. (2018). A Multivariate Linear Regression Analysis of In Vitro Testing Conditions and Brain Biomechanical Response under Shear Loads. Proceedings of the 2018 International Conference on Data Science. Las Vegas, NV.

Crawford, F., Fisher, J., AbuOmar, O., & Prabhu, R. (2018). A Multivariate Linear Regression Analysis of In Vitro Testing Conditions and Brain Biomechanical Response under Shear Loads. Las Vegas, NV.