Hello there! I’m a fourth-year PhD candidate at Cornell’s School of Information Science. My research interests center primarily on policy-relevant applications of adaptive/online experimentation and causal inference methods. I love open source software and enjoy building tools and learning new technologies whenever I can. I’m very thankful to have my work supported by an NSF Graduate Research Fellowship!
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An LLM-generated summary of my research:
I develop empirical methods for applied social scientists running online or adaptive experiments such as multi-armed bandits and conjoint experiments. My work bridges causal inference, experimental design, and machine learning to create methods that enable robust causal inference in dynamic experimental settings. Broadly, I aim to make modern experimentation frameworks both practically useful and statistically rigorous for studying real-world behavior and decision-making.