Curriculum Vitae

MSc in Data Science

École Polytechnique Fédérale de Lausanne (EPFL) - Lausanne, Switzerland

• 5.7/6.0 GPA
• Relevant Courses
  • (CS-503) Visual Intelligence
  • (CS-456) Reinforcement Learning
  • (EE-452) Network Machine Learning
  • (COM-490) Large-Scale Data Science For Real-World Data
  • (MATH-413) Statistics for Data Science
  • (EE-556) Mathematics of Data: from Theory to Computation
  • (CS-430) Intelligent Agents
  • (CS-433) Machine Learning

BSc in Data Science and Artificial Intelligence

Maastricht University - Maastricht, The Netherlands

• Graduated summa cum laude, 9.5/10 GPA
• Ranked 1st out of 104 students within a similar cohort
• Rewarded 9.5/10 for bachelor thesis "Multi-Agent Reinforcement Learning with Graph Neural Networks for Online Multi-Hoist Scheduling"
• Audited graduate-level courses at the department

Research Assistant

Caglar Gulcehre Lab for AI Research @ EPFL - Lausanne, Switzerland

• Skills: Large Language Models, State-Space Models, Reinforcement Learning
• Projects
  • Supervised by Prof. Dr. Caglar Gulcehre
  • Working on foundation models for decision-making problems, specifically on efficient RL for long-horizon problems with algorithm distillation (In progress)

Research Intern

InstaDeep - Paris, France

• Skills: Jax, Transformers, Variational Auto-Encoders, Offline Reinforcement Learning, HDF5, Google Cloud Platform
• Pre-training Transformer models on a large offline reinforcement learning dataset (1+ billion transitions) of the classic Atari benchmark. The goal is to easily fine-tune reinforcement learning agents for downstream tasks using this pre-trained model

Research Assistant (Unofficial)

Laboratory for Information and Inference Systems @ EPFL - Lausanne, Switzerland

• Skills: Python, reinforcement learning, graph neural networks, combinatorial optimization, scheduling
• Projects
  • Supervised by Prof. Dr. Volkan Cevher, Dr. Grigorios G. Chrysos, and Dr. Stratis Skoulakis
  • Co-authored a paper about self-supervised learning for combinatorial optimization problems (in submission)
  • Currently working on a project about hospital staff scheduling using deep reinforcement learning and graph neural networks

AI Research Intern

Aucos AG - Aachen, Germany

• Skills: Python, computer vision, planning, graph representational learning, (multi-agent) reinforcement learning
• Projects
  • Developed a pipeline for multi-camera multi-object tracking through production lines
  • Designed and created software for generating optimal production plant schematics
  • Devised an approach for optimizing the throughput of production lines

Talent bursary, Alberta Machine Intelligence Institute

• Bursary, valued at 2,750 CAD, awarded to talented academics for travelling to Edmonton, Alberta for the Upper Bound conference

Research Scholar Assistant

• Highly competitive research program. I will be working part-time at the Caglar Gulcerhe's Lab for AI Research (CLAIRE) from February 2024 until January 2025. Link to the scholar programme

Scholar Award, NeurIPS

• Travel award, valued at approximately 2,500 USD, covering registration and hotel costs to come to NeurIPS 2023 in-person

Master's Excellence Fellowship, EPFL

• Two-year fellowship valued at 40,000 CHF, awarded to ~3% of EPFL master students based on outstanding academic records

CS-503 Visual Intelligence Best Project Award

• Hunting for Insights: Investigating Predator-Prey Dynamics through Simulated Vision and Reinforcement Learning
• Secured first place among 14 teams, winning a free conference registration. Link to project

Best Bachelor's Thesis Award 2023, Maastricht University

• https://www.maastrichtuniversity.nl/lars-quaedvlieg
• University-wide award valued at 500 EUR for the best bachelor's thesis research among all other students in the programme

Honours Student, Maastricht University

• Participation in the KE@Work honours programme, a part-time research internship in industry alongside the bachelor's programme

Public Relations Manager

EPFL Google Developer Student Club - Lausanne, Switzerland

• Bridging the gap between theory and practice by giving the students a platform to develop their projects and participate in workshops, seminars, hackathons, and more

Student Representative

Department of Advanced Computing Sciences - Maastricht, The Netherlands

• One of two student representatives of 800, responsible for raising students' issues, ensuring program quality by renewing study material, extending the curriculum by adding new courses, and looking into internal regulations of the bachelor program

Board Member

MSV Incognito - Maastricht, The Netherlands

• Treasurer, secretary, and community manager at a department-wide study association comprised of 800 members. Organized educational and social events, and launched a series of on line sessions with academic and industry researchers

Tutor (Co-Founder)

Inforca - Heerlen, The Netherlands

• Tutoring and hosting group exam-preparation sessions for undergraduate students in computer science- and mathematics-related topics