About
I am a computer scientist currently working as a postdoctoral researcher at Microsoft Research, NYC. I received my doctorate from the Computer Science Department at Duke University. My research interests span machine learning, responsible and trustworthy AI, interpretability, human-centered design, AI in healthcare, reinforcement learning, and reasoning.
I aim to facilitate informed decision-making and empower machine learning practitioners, data scientists and policymakers with the tools needed to learn from data effectively, emphasizing interpretability, robustness, and trustworthiness. My goals are both to provide theoretical foundations that explain common phenomena observed in the data (especially for interpretable ML) and to design practical tools for reliable and trustworthy AI. The applications of my work are typically in high-stakes decision domains such as healthcare, finance, criminal justice, and governance.
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