I’m a second year PhD student at the Gatsby Computational Neuroscience Unit at University College London, where I work with Maneesh Sahani. I’m interested in latent variable models and stochastic processes, as well as probabilistic unsupervised machine learning methods in general. With respect to this, I am working on developing methods for the analysis of neural population activity.
I have an undergraduate degree in Natural Sciences and a master’s degree in Computational Statistics and Machine Learning, both from UCL. Before joining Gatsby, I was a research assistant in Jonathan Pillow’s group at the Princeton Neuroscience Institute, where I developed scalable methods for Bayesian receptive field inference.