Aims to design generative AI models as drop-in replacements for existing models like autoregressive Transformers and diffusion models, with the capability of sound reasoning. Research advances the expressiveness of Probabilistic Circuits, making them more capable and broadly applicable in reasoning-intensive domains.
Research Experience
Currently an Assistant Professor at the School of Computing, National University of Singapore. Primary research focus is on deep generative models (diffusion models, probabilistic circuits, variational autoencoders) and efficient exact/approximate inference with guarantees.
Education
Completed PhD at the StarAI lab at the University of California, Los Angeles, advised by Prof. Guy Van den Broeck, before joining NUS.
Background
Assistant Professor (Presidential Young Professor, PYP) in the Department of Computer Science within the School of Computing (SoC) at the National University of Singapore (NUS), working on tractable deep generative models.
Miscellany
Actively looking for motivated and curious individuals to join his research group, offering multiple positions for PhD students, postdoctoral researchers, and research interns (both on-site and remote). Welcomes applications from individuals with diverse backgrounds and levels of experience.