Leads machine-learning research spanning foundation-model adaptation, multimodal AI, and physical sensing, bridging methodological advances with real-world systems and applications.

Translated research ideas into sensing technologies validated on real-world fiber infrastructure.

Conducted research in statistical modeling and Bayesian inference for replicated network data.