Right now I'm in New York City completing the Insight Artificial Intelligence Fellowship program and working on some of my own ideas. My current interests are machine learning interpretability (how can we reconcile statistical models with the mental models people use in the real world and make machine learning more useful?), data science workflows (what tools could help data scientists understand the strengths and weaknesses of their models and iterate more quickly?), and natural language processing. In the past I studied computer science + Mind/Brain/Behavior at Harvard and worked at Kensho Technologies.
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