Systems that see, decide, and act
I build full-stack robotic systems connecting sensing with learning-based algorithms and precision robotic hardware and control, to enable reliable autonomy in high-stakes, unstructured real-world environments.
Sense it. Understand it. Act on it.
Robotics researcher specializing in multimodal sensing and closed-loop autonomy for medical robotics, surgical robotics and aerial robotic systems in complex, dynamic environments.

Under Review
TumorMap: A Laser-Based Surgical Platform for 3D Tumor Mapping and Fully-Automated Tumor Resection
Multimodal surgical platform — leveraging optical coherence tomography (OCT), laser-induced fluorescence, RGB images, to generate 3D pathological maps with learning-based mapping, enabling autonomous resection through laser scalpel. Validated in murine osteosarcoma and soft-tissue sarcoma with submillimeter accuracy.

WACV 2026
SurgXBench: Explainable VLM for Surgery
Vision-language model benchmark for surgical scene understanding.
ISMR 2023
Brain-Mimicking Phantom for Photoablation
Tunable optical/mechanical phantoms for validating robotic laser surgery systems.
IROS 2023
3D Laser-Tissue Agnostic Surgical Planning
Data-driven method for robotic laser surgical planning from 3D scans.




