My research interests primarily lies in applying computational science and mathematics to real-world problems. That being said, I work on using graph theory and network science to model problems arriving from a diverse field. Currently I’m developing network analytics for the biological networks consisting of miRNA interactions.
I am fascinated by the world of computational biology just by the sheer nature of the complex problems as well as the intricacies of this kind of research. Presently, I am working on complex biological networks. I like biology, computer science and building things!
My research work covers graph modeling, optimization, network inference, bayesian statistics, and WGCNA for gene-expression datasets.
I also like areas of decision-making, AI and probabilistic graphical modeling.