About Me
I am a PhD candidate in Information Technology at MIT working on large language models (LLMs), metascience, and human-AI decision-making. I am extremely fortunate to be advised by Profs. Abdullah Almaatouq and Michiel Bakker.
My research centers on building AI systems that better understand human behavior and social systems across diverse contexts — a goal that both benefits from and contributes to social science. To this end, I explore metascientific questions about how AI can help improve research methods and practices. I also study how humans interact with AI and scientific knowledge in making decisions. I have deep interests in multi-agent systems — whether composed of humans, machines, or hybrid collectives.
I interned with two AI research teams at Amazon during the summers of 2023 and 2024, where I led projects on social networks, LLMs, and knowledge retrieval. Before joining MIT, I was a research fellow at Carnegie Mellon University, specializing in language models and human cognition. I hold a B.S. in physics and a B.A. in knowledge ecology from Seoul National University.
My studies have been generously supported by scholarships with the most competitive funding in South Korea: SBS Foundation Scholarship (graduate) and the Presidential Science Scholarship in physics (undergraduate).
Connect
I always love to interact with and learn from people with diverse perspectives. If there are any interesting research ideas you would like to discuss, please don’t hesitate to email me!
robinna[at]mit[dot]edu