Timothy Obiso

Timothy Obiso is a second-year Computer Science PhD student at Brandeis University. His research sits at the intersection of machine learning, epistemic reasoning, and human-AI teaming. Within iSAT, he works on epistemic logic, theory of mind, and multi-agent collaborative reasoning, and designs distributed partial-information tasks to benchmark how large language models reason about other agents' knowledge states under epistemic asymmetry. His broader machine learning interests include vector symbolic architectures, holographic reduced representations, and mechanistic interpretability of large language models.