Industry 

I am a pioneering leader in AI research and development, specializing in next-generation AI models for autonomous driving and embodied intelligence. As the Director of AI at Wayve, I lead high-impact teams building cutting-edge technologies, including generative AI, foundation models, LLMs, TinyML, reinforcement learning, and behavior-learning systems. I have led flagship efforts such as GAIA, Wayve’s generative world model for simulation and pretraining, and LINGO, the first closed-loop vision-language driving model—advancing both the science and deployment of intelligent autonomous agents. My work bridges deep research and real-world application, turning state-of-the-art ideas into scalable, production-ready systems that shape the future of mobility. 

Prior to that, I led cross-functional teams of AI researchers, AI engineers, and software engineers to develop sophisticated AI-driven solutions that enable the seamless generation and updating of high-definition (HD) maps. I was responsible for overseeing the development of cutting-edge algorithms and ensuring their efficient deployment on edge devices, enabling real-time data processing and integration within embedded systems.

What drives me is the challenge of developing AI systems that can learn from limited data, adapt seamlessly to new environments, and process multi-modal data with remarkable noise robustness. I’m deeply committed to advancing energy-efficient and reliable AI solutions that are poised to redefine autonomous driving, smart cities, and connected vehicles.

Academia 

I am also an Adjunct AI Professor in the Department of Mathematics and Computer Science at the Eindhoven University of Technology (TU/e). 

I co-lead the NeurAI Lab, where we focus on developing Neuro-Inspired AI models that can efficiently learn across multiple tasks. Our primary research goal is to advance representation learning by drawing inspiration from the functional and learning mechanisms of the human brain. We aim to develop the next generation of AI systems that edge us closer to Artificial General Intelligence (AGI).

Our research spans various areas, including continual learning, multi-task learning, self-supervised learning, generative AI, knowledge distillation, and efficient transformers. 

The work we do is regularly featured in top conferences and journals, such as NeurIPS, ICLR, ICML, AAAI, TMLR, ICRA, CVPR, ICCV, and IROS.

News

• August 2025: Promoted to Director of AI Research at Wayve.

• May 2025: Area Chair at NeurIPS 2025.

• May 2025: Invited talk at Cortex Research Talk Series @Microsoft Research. 

• May 2025: Keynote at Long-term Human Motion Prediction @ICRA, Atlanta, USA.

• Apr 2025: Panelist at World Models Understanding, Modelling, and Scaling @ICLR 2025, Singapore.

• Mar 2025: We released GAIA-2, a controllable multi-view world model for autonomous driving at Wayve.

• Mar 2025: Area Chair at ICCV 2025.

• Nov 2024: Keynote at Safe and Robust Robot Learning for Operation in the Real World @CoRL, Munich, DE.

• Nov 2024: Keynote at Revolutionizing Autonomous Systems with Generative AI, and Large Language Models for Zero Trust Architecture @GENZERO, Abu Dhabi, UAE.

• Oct 2024: Keynote at BMVA Symposium: Robotics Foundation & World Models, London, UK.

• Sep 2024: Keynote at Tech Deep Dives: AI & Quantum, Cambridge Tech Week, Cambridge, UK.

• May 2024: Area Chair at NeurIPS 2024.

• Jun 2024: Speaker and organizer at [Tutorial] End-to-End Autonomy: A New Era of Self-Driving, CVPR, Seattle, USA.

• Jun 2024: My team at Wayve received the Outstanding Champion & Innovation Award @CARLA Autonomous Driving Challenge with LLM4AD (CVPR, 2024).

• Apr 2024: We released LINGO-2: Driving with Natural Language at Wayve.

• Oct 2023: Joined as Head of AI at Wayve.

• Mar 2022: Our SAFEXPLAIN Project 2021 Horizon Europe Program was awarded (€4M, of which €600k for our group). This project focuses on SAFE and EXPLAINable critical embedded systems based on AI.

Recent Publication:

• Feb 2025: Paper accepted at Conference on Computer Vision and Pattern Recognition (CVPR 2025) (Highlight)

• Jan 2025: Paper (+ 2 workshop papers) accepted at International Conference on Learning Representations (ICLR 2025)

• Sep 2024: Paper accepted at Neural Information Processing Systems (NeurIPS 2024)

• Jul 2024: Paper accepted at European Conference on Computer Vision (ECCV 2024)

• May 2024: Paper accepted at International Conference on Machine Learning (ICML 2024)

• Apr 2024: Paper accepted at Pattern Recognition (journal)

• Apr 2024: Paper accepted at Transactions on Machine Learning Research (TMLR)

• Apr 2024: 3 papers accepted at Conference on Lifelong Learning Agents (CoLLAs 2024)

• Jan 2024: 2 papers accepted at International Conference on Learning Representations (ICLR 2024)

• Feb 2023: Paper accepted at Transactions on Machine Learning Research (TMLR)

• Oct 2023: Paper accepted at IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024)

• Sep 2023: Paper accepted at Conference on Neural Information Processing Systems (NeurIPS 2023)

• Apr 2023: 2 papers accepted at International Conference on Machine Learning (ICML 2023)

• Feb 2023: 2 papers accepted at Transactions on Machine Learning Research (TMLR)

• Jan 2023: 2 papers accepted at International Conference on Learning Representations (ICLR 2023)

• Jan 2023:  Paper accepted at IEEE International Conference on Robotics and Automation (ICRA 2023)

• Nov 2022: Paper accepted at AAAI Conference on Artificial Intelligence (AAAI 2023) (Spotlight)

• Aug 2022: Our TMLR paper received a 𝗦𝘂𝗿𝘃𝗲𝘆 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻

• Jul 2022: Paper accepted at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)

• May 2022: 6/6 papers accepted at Conference on Lifelong Learning Agents (CoLLAs 2022)

• Jan 2022: Paper accepted at International Conference on Learning Representations (ICLR 2022)