My research interest involves applying the cutting-edge techniques of computer science to solve some computationally challenging biological problems. As part of my PhD research I have analyzed different probabilitic approaches to model the three-dimensional structures of protein-based assemblies formed by interactions among protein molecules as it would occur in living cells. Well-predicted structure help to understand the molecular basis of diseases, and assist in effective drug designing. My PhD dissertation can be found here .

As a visiting fellow at NIH, I worked on advance machine learning techniques to classify human regulatory elements known as enhancers that are responsible for enhancing the functions of human genome. My works involves to decipher the structural mechanism of different class of enhancers. Here is my Google Scholar Citations.





Extended Abstract