I am a NeuroAI researcher seeking to understand how our brains make sense of our world. Using machine learning and neural networks, I model experimental data (fMRI and MEG) to uncover insights into human visual memory and perception. I have extensive experience in all stages of the NeuroAI pipeline, from experimental data collection to preprocessing to AI training and publication. I obtained my PhD studying computational neuroscience in MIT's Computer Science and Artificial Intelligence Lab (CSAIL), where I was advised by Aude Oliva. I have also have industry experience applying my AI skills at Regeneron Pharmaceuticals, Microsoft, and Amazon.

Prior to joining MIT, I graduated from Boston University with a B.S. in biomedical engineering. During my undergrad years I was first introduced to research through Professor Robert Reinhart and Professor John White.