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 build multimodal foundation models and agents that acquire the core competencies of human experts: integrating heterogeneous evidence as it unfolds over time, reasoning about “what-if” trajectories, and staying reliable as the situation evolves. My work bridges core machine learning methodology with high-stakes applications such as medicine:

• Multimodal foundation models: multimodal fusion, cross-modal interactions, clinical foundation models.
• Counterfactual reasoning & simulation: counterfactual simulation, physiology-constrained generative models.
• Trustworthy & enduring deployment: uncertainty quantification, sequential monitoring, continual learning.
• Foundations of machine learning: neural scaling laws, time-series sequence models, interpretability.

I am on 2026 - 2027 academic job market, would love to connect to discuss about futures!