Hi, I’m Sadie :)
I’m a PhD student in Computer Science at Harvard University, where I’m fortunate to be advised by Yiling Chen. Before Harvard, I studied Mathematics and Computer Science at Pomona College. I’ve also had the pleasure of working closely with Amy Greenwald and Denizalp Goktas at Brown University.
My research lies at the intersection of economics and computer science. I use game theory, multi-agent learning, and optimization to model agents’ decision-making, analyze how their interactions shape collective outcomes, and use these insights to design economic systems. My work develops computational frameworks for equilibrium computation and mechanism design in dynamic, stochastic, and information-rich environments.
Recently, I have become interested in LLM post-training and alignment, extending this agenda to understand collective behavior among LLM agents and inform the design of training procedures and interaction rules for multi-agent safety and alignment.
My socials can be found below.