David Murrugarra
 
 


I develop computational tools for modeling, analysis, and control of gene regulatory networks. I have focused on discrete methods, which employs techniques from discrete mathematics, combinatorics, graph theory, and computational algebra. I am also developing efficient methods for optimal control of large probabilistic models using techniques from Markov decision processes.


I am also interested in the computational prediction of RNA secondary structure using machine learning techniques.


I am also interested on using deep learning techniques for classifications problems in Systems Biology and Bioinformatics.

 

Research Interests:

Welcome to my academic website. I am an Assistant Professor in the Department of Mathematics at the University of Kentucky. My research is in Mathematical Biology. I am in the Applied and Computational Mathematics group. We run an applied math seminar, see details here.