About me

Ph.D. Student @CMU advised by Eric P. Xing and @IST, advised by André Martins

As a PhD student in Computer Science, my research focuses on world models and agent models, with an emphasis on uncertainty quantification, conformal prediction, and large language models. I am particularly interested in how uncertainty-aware learning can strengthen reasoning, prediction, and adaptation in dynamic environments.

I completed my MSc in Data Science and Engineering, building on a background in Biomedical Engineering. During my Master’s, I developed novel and adaptive algorithms for online multi-label learning with concept drift.