Imane Jennane

Visiting Student Researcher @ Stanford University

Imane Jennane

Robotics & Computer Vision Engineer

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

Who I am

I build computer vision systems for robots: spacecraft pose estimation, drone tracking, and 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. Long term, I want to work on robots that operate safely alongside people.

Based in

Stanford, CA · Lausanne, Switzerland

Interests

RoboticsComputer VisionArtificial IntelligenceMedical RoboticsAutonomous SystemsMachine LearningSoftware Engineering

Languages

  • English (fluent)
  • French (native)
  • Arabic (native)

02 · Experience

Research & industry

May 2026 – PresentCURRENT

Stanford University

Visiting Student Researcher · Stanford Robotics Lab

Computer vision and robot navigation for thrombectomy in stroke cases.

Medical RoboticsVision-Based LocalizationCamera CalibrationAprilTagsPose EstimationReal-Time TrackingMagnetic MillirobotsOpenCVPython

Oct 2025 – Apr 2026

Fotokite

Computer Vision Engineering Intern

Perception for tethered autonomous drones used by first responders.

Object DetectionObject TrackingDeep LearningYOLOOSTrackPyTorchEvaluation PipelinesPerformance Optimization

Feb 2025 – Jul 2025

EPFL Computer Vision Lab

Computer Vision Research Project

Robustness analysis of 6D pose estimation for spacecraft imagery.

6D Pose EstimationRobustnessFault InjectionPyTorchSpace Robotics

Aug 2024 – Jan 2025

LTS5 Lab, EPFL

Robotics Semester Project

Domain adaptation for medical ultrasound imaging.

Domain AdaptationU-NetMedical ImagingDeep LearningPyTorch

Jul 2023 – Sep 2023

GALATEA Lab

Microengineering Intern

Haptics and 3D sensing for laser manufacturing.

Haptics3D SensingPrecision Engineering

03 · Education

Academic path

2026 – Present

Stanford University

Visiting Student Researcher · Stanford Robotics Lab

Stanford, CA

Computer vision and robot navigation for thrombectomy in stroke cases.

2023 – 2026

EPFL (École Polytechnique Fédérale de Lausanne)

MSc in Robotics · Specialization in Computer Vision

Lausanne, Switzerland

Image Analysis & Pattern Recognition, Machine Learning, Signal Processing, Robotics.

2022 – 2023

Technical University of Denmark (DTU)

Exchange Year · Microengineering

Copenhagen, Denmark

Bachelor's exchange year.

2019 – 2023

EPFL (École Polytechnique Fédérale de Lausanne)

BSc in Microtechnology

Lausanne, Switzerland

04 · Projects

Some featured work

05 · Skills

Tools

Programming

PythonC++MATLABJavaGit

Computer Vision

OpenCVCamera CalibrationImage ProcessingFeature DetectionPose EstimationObject Tracking

Machine Learning

PyTorchTensorFlowDeep LearningObject DetectionDomain Adaptation

Robotics

ROS2Sensor FusionState EstimationSLAMMotion Planning

Dev Environment

DockerLinuxCUDANVIDIA JetsonVS Code

06 · Achievements

Beyond the day job

Hackathon

QBI Hackathon: first prize

Won first prize at the Quantitative Biosciences Institute hackathon with EvoEmu.

Teaching

Teaching Assistant × 4 courses

TA for Algorithms & Computational Thinking (Java/Python), Physics, and Descriptive Geometry at EPFL and UNIL, explaining hard ideas simply, at scale.

Mentoring

Student Mentor, EPFL

Mentored incoming engineering students through the transition into one of Europe's most demanding programs.

Open Source

Open Source

Robotics and ML coursework, simulations, and research code shared on GitHub, from mobile-robot navigation to reinforcement learning.

Engineering

Cross-Disciplinary Range

From microengineering hardware to deep learning research: haptics, 3D sensing, ultrasound imaging, spacecraft pose, drones, and medical robots.

07 · Contact

Get in touch.

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.