I develop computational tools for modeling, analysis, and control of regulatory networks. I have focused on discrete methods, which employ 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 and reinforcement learning.

 

I am also interested in the computational prediction of RNA secondary structure using machine learning techniques. Also interested in deep learning techniques for classification problems in Systems Biology and Bioinformatics.