I got my undergraduate degree in 2016 from the University of Pittsburgh, where I double majored in neuroscience and computer science and minored in chemistry. After this, I spent a year as an AI Resident at Google Brain. During my time at Google, I investigated the differences between popular recurrent neural network architectures and worked on building a deep learning-based tool for discovering the underlying dynamics of neural spiking data. Now at Berkeley, I am a second year PhD student in the Electrical Engineering and Computer Science department. In my free time I like cooking vegan versions of traditionally meaty dishes, and caring for my indoor and outdoor plants!