Welcome! I am a PhD student in Computer Science at Cornell University, where I am very fortunate to be advised by Jon Kleinberg. I am currently doing extended research with the Google Brain Team, where my mentors are Quoc Le and Samy Bengio. In the past, I’ve collaborated with Jascha Sohl-Dickstein and Surya Ganguli at Stanford.

Before Cornell, I was at the University of Cambridge (Trinity College) where I completed my Bachelors and Masters (Part III of the Tripos) in Mathematics. Prior to that I was very fortunate to spend my final years in high school competing in national and international mathematical Olympaids. The highlight was being part of the UK team at the China Girls Math Olympiad.

Research Interests

My research interests center around enabling more intuitive and informed design processes for machine learning systems and questions on how these systems can collaborate effectively with human experts. More specifically, I’ve looked at developing quantitative tools that facilitate the analysis of the complex hidden representations of deep neural networks, which provide both fundamental insights and inform important algorithms for learning and training these systems, particularly in few-shot learning and transfer learning. I also study frameworks and predictive problems for combining these fully trained AI systems with human experts, with a focus on medical applications.