Published multiple papers including 'Semantic Probabilistic Control of Language Models' and 'Controllable Generation via Locally Constrained Resampling', which was presented orally at ICLR 2025 and showcased at the Safe Generative AI Workshop @ NeurIPS 2024.
Research Experience
Currently a Postdoctoral Fellow in the Computer Science Department at the University of California, Irvine, hosted by Sameer Singh.
Education
Ph.D. in Computer Science from the University of California, Los Angeles (UCLA), co-advised by Guy Van den Broeck and Kai-Wei Chang.
Background
Research interests include Neuro-Symbolic AI, Trustworthy AI, Tractable Probabilistic Modeling, and Knowledge Representation and Reasoning. Aims to exploit the capabilities of current architectures like transformers and large language models to learn from data while endowing them with logical reasoning capabilities, yielding trustworthy and explainable systems.