PhD Candidate, Biomedical Engineering
I’m a PhD candidate in the MEDCVR Lab at the University of Toronto, supervised by Prof. Lueder A. Kahrs.
My research focuses on perception and control for surgical robotics. I use optical coherence tomography (OCT), an imaging technique that captures micron-scale subsurface detail, to estimate surgical tool motion and guide precise robotic manipulation.
Transfers a policy learned on a Franka arm with wristed surgical instruments to the da Vinci Research Kit without retraining, achieving 17/20 successful angled peg-transfer trials.
8 DoF pose estimation of magnetically actuated micro-robotic gripper for neurosurgical applications using OCT imaging for closed-loop control.
Performed 3D template matching on volumetric OCT images to detect spherical markers and estimate micro-robot joint angles.
Surgical scissor tool joint angle estimation using ICP registration and tool CAD models.
* Equal contribution. See my CV for refereed abstracts.
Forceps-Based Fine Manipulation Challenge
Co-organized a hands-on robotics challenge introducing participants to precise teleoperation through needle threading and M2 bolt pick-and-place.
Competition detailsAn open-source tool for customizing and downloading 3D-printable prosthetic attachments for recreational activities.
Led a team applying machine learning to financial transaction analysis in the University of Toronto’s 2025 case competition.
My teaching assistant experience at the University of Toronto includes:
Head TA in 2026, with three years of TA experience. Delivered a lecture on inverse kinematics.
Delivered lectures on particle filters as a teaching assistant.
Head TA (May–August 2025).