Apoorva Sikka completed her and degrees in Computer Engineering from RTU Ajmer and MNIT Jaipur (India). She is currently pursuing PhD at Indian Institute of Technology Ropar, India. Her work is based on exploring recent machine learning technologies like deep learning to different medical imaging domains to perform tasks such as classification, delineation, synthesis. In past, she has devised a method using fully connected neural networks to perform brain segmentation of MR scans. She is working as a visiting scholar in canlab where she focuses on analysis of deep learning approaches applied to neuroimaging data(fMRI).