I am currently a Postdoctoral Fellow at Department of Computer Science of Johns Hopkins University, working with Prof. Suchi Saria. I graduated with Ph.D. at University of Texas at Austin, where I was associated with IDEAL, WNCG and IFML. I was advised by Prof. Joydeep Ghosh. I’ve also worked with Profs. Paul Liang, Nhat Ho and Qiang Liu on interesting research problems. I got my Bachelor’s degree in electronics and electrical engineering from The University of Edinburgh.

I design multimodal foundation models and agents capable of human-expert reasoning in high-stakes environments. My research bridges core machine learning with real-world deployment such as healthcare. My vision is to build trustworthy, self-improving AI systems that seamlessly integrate into workflows to improve outcomes, topics include:

• Multimodal Foundation Models: multimodal fusion, cross-modal interactions, medical foundation models.
• Self-Evolving Agentic System: self-play methods, memory and knowledge evolution, counterfactual simulation.
• Trustworthy & Enduring Deployment: uncertainty quantification, sequential monitoring, interpretability.
• Foundations of Machine Learning: time-series sequence models, ensemble models, neural scaling laws.

I am on 2026 - 2027 academic job market, would love to connect to discuss about futures!
No visa sponsorship is required for my academic or industry employment in the United States.