Advanced the state-of-the-art A3C model implemented in Pensieve by increasing exploration using the Follow then Forage technique
Trained a deep learning model to identify N6-MethylAdenosine (m6A) modifications in an RNA sequence
An Attention Based Learning method for Enzyme Classification using protein sequences
Designed an deep learning model to diagnose COVID-19 from Chest X-rays
Constructed a deep learning model to detect, classify, and track players in a football match video
Classified sub-tomograms according to the biomolecules present in them using various deep learning techniques
Deep learning based system to predict four different cysteine post-translational modifications
Conducted protein-protein docking simulations to understand the role of SERA5 and SERA6 in the process of egress, pertinent to the malaria parasite *Plasmodium falciparum*
Designed multiple deep learning models to predict the pair-wise distances for all the residues in a protein