I am a final year PhD student in the Geometric Data Processing Group at MIT. My research focus is on discrete optimal transport with applications to Bayesian inference, robust learning, clustering, and data summarization. During my time in GDP I’ve been lucky to collaborate with many incredible people, among them Justin Solomon, Edward Chien, Matthew Staib, and Hugo Lavenant.
Prior to joining Justin’s group, I was a Master’s student with Daniela Rus in the Distributed Robotics Lab where I worked on modular robotics and path planning. Before coming to MIT, I received my BSc from the University of Southampton in the United Kingdom under the supervision of Klaus-Peter Zauner.
I have done internships in interpretability of deep learning at Google, semantic segmentation with Bosch Research and Technology Center, and user experience at EPFL in Lausanne.