About Me
I am a research engineer with a PhD in Computer Vision specializing in sensor fusion, deep learning for perception, and online calibration for autonomous driving.
My research focuses on developing robust deep learning methods for multi-sensor perception, with expertise in LiDAR-camera perception and uncertainty estimation. Through my work at Motional and Toyota Motor Europe, I've gained industry experience. During my PhD, I've developed practical solutions that have resulted in publications in top-tier conferences and an international patent.
full curriculum vitae (pdf) →Research & Publications
My research focuses on robust deep learning methods for multi-sensor perception, with expertise in LiDAR-camera perception and uncertainty estimation. I've developed practical solutions that have resulted in publications in top-tier conferences and an international patent.
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach
Novel uncertainty quantification approach for sensor calibration that provides reliability guarantees and improves odometry accuracy.
MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibration
First method for online calibration of LiDAR with event cameras.
PseudoCal: Towards Initialization-Free Camera-LiDAR Calibration
First method for deep learning-based sensor calibration without requiring manual initialization.
UniCal: A Single-Branch Transformer-Based Model for Camera-to-LiDAR Calibration
Efficient Transformer-based approach for both calibration and validation, leading to an international patent.
Deep Learning for Multi-Sensor Calibration in Autonomous Driving
Novel deep learning approaches for robust multi-sensor calibration in autonomous driving systems with uncertainty-aware methods.
News
I was awarded the "Top Reviewer" award at NeurIPS 2025 for my reviews of the conference's submissions.
View reviewersExcited to start a new role as Perception Research Engineer at Konboi, a startup based in Paris, developing the future of freight transportation by working on autonomous trucks and AI retrofit kits for fuel savings.
Successfully defended my PhD thesis on "Deep Learning for Multi-Sensor Calibration in Autonomous Driving".
View thesis