I am an ML PhD student at Georgia Tech advised by Polo Chau and supported by the NSF GRFP.
I work on generative models, combining theory, interpretability, and software engineering to better understand them and make them more capable and controllable. I have a particular interest in diffusion and flow-based generative models, including their theoretical foundations (e.g., What Time Is It?), internal representations (e.g., ConceptAttention), and applications to language and reasoning (e.g., Flow Reasoning Models).
I also use data visualization to make complex models easier to understand and explore. I build interactive tools, open-source software, and animations for researchers and broader audiences (e.g., Diffusion Explorer, ManimML).
I have worked across academic and industry research at IBM Research, the MIT-IBM Watson AI Lab, Apple, Adobe Firefly, NASA JPL, and the University of Pittsburgh, spanning language, multimodal safety, scientific visualization, and computational biology.
Blogs
Visualizations
I am most interested in diffusion and flow-based generative models, including their theory, their architectures, and their applications across vision, multimodal understanding, and language and reasoning. I also enjoy building open-source libraries and tools that make these models more accessible.