I am a fourth year PhD student in the Machine Learning Department of the School of Computer Science at Carnegie Mellon University, co-advised by Tom Mitchell and Barnabàs Pòczos.

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.