I am a second-year PhD student at Cornell in Operations Research and Information Engineering. I am currently located at Cornell Tech (NYC) where I am very fortunate to be advised by Nathan Kallus. My work is supported on a NDSEG fellowship. Previously, I studied Operations Research and Financial Engineering at Princeton University.
I work on data-driven decision-making: leveraging statistical predictions from heterogeneous data to make reliable decisions which are calibrated for individual and stakeholder utility. Currently, I am interested in causal inference and machine learning as a language for prescriptive analytics.
I am also interested in the challenges of using data-driven decision making for contemporary applications in civic services, such as fairness in machine learning, for more just societal outcomes.
keywords: civic data/open data, applied microeconomics, graphic design, photography.