Visiting Student Researcher @ Stanford University
Visiting Student Researcher at Stanford University building vision-based localization for medical microrobots. MSc in Robotics at EPFL, specializing in computer vision and AI.
01 · About
I work on systems that let machines see, understand, and act in the physical world, from spacecraft pose estimation to drones to medical robots navigating human vasculature. Trained in Microengineering and Robotics at EPFL, I specialize in computer vision for robotics and AI.
At Stanford, I'm developing the vision pipeline that localizes and tracks a magnetic microrobot for stroke thrombectomy, where precision is measured in millimeters and outcomes in lives. Long term, I want to help ship robots that operate safely alongside people, at the frontier where perception, learning, and control meet.
Based in
Stanford, CA · Lausanne, Switzerland
Interests
Languages
02 · Experience
From Stanford's robotics lab to autonomous drones in Zurich: perception systems that have to work outside the demo.
May 2026 – PresentCURRENT
Visiting Student Researcher · Stanford Robotics Lab
Computer vision and robot navigation for thrombectomy in stroke cases.
Oct 2025 – Apr 2026
Computer Vision Engineering Intern
Perception for tethered autonomous drones used by first responders.
Feb 2025 – Jul 2025
Computer Vision Research Project
Robustness analysis of 6D pose estimation for spacecraft imagery.
Aug 2024 – Jan 2025
Robotics Semester Project
Domain adaptation for medical ultrasound imaging.
Jul 2023 – Sep 2023
Microengineering Intern
Haptics and 3D sensing for laser manufacturing.
03 · Education
Stanford · EPFL · DTU: trained across three of Europe and America's leading engineering schools.
2026 – Present
Visiting Student Researcher · Stanford Robotics Lab
Stanford, CA
Computer vision and robot navigation for thrombectomy in stroke cases.
2023 – 2026
MSc in Robotics · Specialization in Computer Vision
Lausanne, Switzerland
Image Analysis & Pattern Recognition, Machine Learning, Signal Processing, Robotics.
2022 – 2023
Exchange Year · Microengineering
Copenhagen, Denmark
Bachelor's exchange year.
2019 – 2023
BSc in Microtechnology
Lausanne, Switzerland
04 · Projects
Perception systems built for hard conditions: operating rooms, spacecraft, drones in the field, and the clinic.
05 · Skills
The stack I reach for when perception has to ship.
06 · Research
Perception you can trust when the stakes are highest.
Multi-camera calibration, fiducial-based registration, and 2D-to-3D mapping for robots that must know exactly where they are.
Perception and navigation for millimeter-scale robots in vasculature, toward safer, faster stroke thrombectomy.
Understanding how detection, tracking, and pose estimation fail under noise, occlusion, and domain shift, and engineering around it.
Deep learning for detection, tracking, and domain adaptation, evaluated with the rigor of a systems engineer.
Current work · Stanford Robotics Lab
At the Stanford Robotics Lab, I'm building the perception system for a magnetically actuated millirobot designed for thrombectomy in stroke cases. The pipeline reconstructs the robot's 3D position inside a vascular phantom from camera views in real time, combining camera calibration, AprilTag-based registration, vessel-centerline mapping, and tracking that stays reliable through refraction, reflections, and contrast-dye injections.
Publications
Vision-based 3D localization of magnetic millirobots in vascular phantoms
In preparation · 2026
Posters & Talks
2D-to-3D localization of a medical microrobot
Stanford Robotics Lab, lab presentation · 2026
Future Directions
07 · Achievements
Selected to work with EPFL's Computer Vision Lab and ESA on the robustness of 6D pose estimation for spacecraft: perception that has to work 400 km up.
Built EvoEmu at the Quantitative Biosciences Institute hackathon: rapid prototyping at the intersection of biology and computation.
TA for Algorithms & Computational Thinking (Java/Python), Physics, and Descriptive Geometry at EPFL and UNIL, explaining hard ideas simply, at scale.
Mentored incoming engineering students through the transition into one of Europe's most demanding programs.
Robotics and ML coursework, simulations, and research code shared on GitHub, from mobile-robot navigation to reinforcement learning.
From microengineering hardware to deep learning research: haptics, 3D sensing, ultrasound imaging, spacecraft pose, drones, and medical robots.
08 · Contact
I'm graduating with my MSc in Robotics and looking for full-time roles in robotics, computer vision, perception, and AI. If that sounds like your team, I'd love to talk.
