I am a PhD candidate at
New York University, working in the
Department of Technology, Operations, and Statistics (TOPS)
, advised by Prof. Arun Sundararajan.
My research sits at the intersection of economics, statistics, and machine learning, with a focus on information systems, market design, and AI and automation in multisided marketplaces.
I study how platform design shapes participant incentives and market outcomes, and specialize in evaluating the economic impact of policies and design choices using RCTs, quasi-experimental methods, and structural models.
My work often leverages unstructured, multimodal data—such as text, video, and geospatial trajectories—combined with neural network training and NLP. A parallel stream examines the economic behavior of intelligent agents, including generative AI, and how to deploy and optimize them in business contexts through economic principles.
When I’m not doing research, I am an avid reader of fiction and enjoy exploring various outdoor sports,
including snowboarding, mountain climbing, and occasionally s marathon running.