My PhD research focuses on developing machine learning methods applied in neuroscience, with the goal of understanding how the brain understands language and controls speech. I am also passionate about drawing inspiration from the human brain and intuition in order to develop new methods for machine learning (mainly focused on semi-supervised and curriculum learning). Previously, I did some research in Computer Vision, with the goal of detecting and tracking objects in videos.
Before I joined CMU, I graduated with an M.Phil. in Advanced Computer Science from the University of Cambridge, UK. In my Master’s thesis I used Machine Learning methods to detect and align chromosomes in microscope images, advised by Pietro Lió.
|Mar 27, 2019||Organizing a workshop on Adaptive & Multitask Learning at ICML 2019.|
|Mar 27, 2019||Our work on curriculum learning for machine translation was accepted for oral presentation at NAACL 2019.|
|Apr 27, 2018||Thank you CMLH for the fellowship in digital health in support of our work on Parkinson’s disease.|
|Dec 1, 2017||Attending NIPS 2017 and presenting our work on multi-task learning.|