Lars C.P.M. Quaedvlieg

Affiliated with InstaDeep, EPFL, Asentio, Aucos AG, Maastricht University

Lausanne, Switzerland ⛰️
Paris, France 🎨

Welcome to my personal website! I’m currently doing a research internship at InstaDeep, and I am pursuing an MSc in Data Science at École Polytechnique Fédérale de Lausanne, where I also do research at the Laboratory for Information and Inference Systems. My current research revolves around transformers and reinforcement learning, with a focus on foundation models for decision-making problems. Prior to my master’s degree, I completed a BSc in Data Science and Artificial Intelligence 🎓 at Maastricht University.

I am also currently involved with Rounded.News as the Chief AI Strategist, a start-up attempting to break filter bubbles using AI-powered news 📰.

During my bachelor’s studies, I had the opportunity to delve into applied research in various areas. As an AI research intern at Aucos AG, I worked on projects involving multi-camera multi-object tracking, and multi-agent systems.

My primary research interests lie within the exciting fields of machine learning and artificial intelligence, with a particular emphasis on reinforcement learning and multi-task learning. For more in-depth information about my work, feel free to explore the publications and projects pages!

Additionally, I am committed to leveraging my skills and knowledge to create positive impact and make a difference in people’s lives. I believe in the power of collaboration, innovation, and entrepreneurship to drive meaningful change. Through my involvement in various associations, hackathons, and initiatives, I have gained experience in addressing real-world challenges and contributing to sustainability efforts ♻. I am excited about opportunities to further expand my horizons and contribute to projects that align with this ideology.

When I’m not doing research or working on my projects, you can find me skiing down slopes ⛷, swimming in mountain lakes 🏖️ , exploring scenic hiking trails 🥾🏞️, or playing field hockey 🏑.

Thank you for visiting my website! I welcome collaboration and invite you to reach out (see the bottom of this page), whether you have ideas for impactful projects, opportunities for partnership, or simply want to connect!


Jul 13, 2023 I’m very excited to announce that I will be joining InstaDeep in Paris for the upcoming six months as a Research Intern. Together with the team, I will be working on the development of a general agent for multiple combinatorial optimization problems!
May 24, 2023 I’m thrilled to share that I’ve just submitted my first paper to NeurIPS! It has been an amazing and action-packed journey, filled with both hard work and enjoyment. Now, I eagerly await the outcome and hope that my paper gets accepted. Stay tuned for updates!

Selected publications

  1. Maximum Independent Set: Self-Training through Dynamic Programming
    L.C.P.M. Quaedvlieg*, L. Brusca*, S. Skoulakis, G. Chrysos, and V. Cevher
    Advances in Neural Information Processing Systems (NeurIPS), Jul 2023
  2. Multi-Agent Reinforcement Learning with Graph Neural Networks for Online Multi-Hoist Scheduling
    L.C.P.M. Quaedvlieg
    Bachelor’s Thesis, Jul 2022