I am a Senior Data Scientist at Flatiron Health, where I use machine learning on large datasets to accelerate cancer research.
My background is in computational cognitive neuroscience. I have been a Simons Fellow at NYU, a PhD student at Stanford, a lab tech at MIT, and an undergrad at Amherst. My research has focused on understanding the neural systems that support higher-level cognition across multiple spatiotemporal scales.
I also build software tools that help people analyze and understand data. I am the creator of seaborn, a Python library for data visualization, and I have originated or contributed to several other open source projects.