Resume

Contact Information

Name Wouter Nuijten
Email w.w.l.nuijten@tue.nl
Location Eindhoven, Noord-Brabant
Website https://wouterwln.github.io/

Professional Summary

PhD candidate in Bayesian Machine Learning at Eindhoven University of Technology and Senior Machine Learning Engineer at Lazy Dynamics. I work on Active Inference as variational inference, probabilistic programming, and real-time ML systems for decision-making under uncertainty.

Experience

  • 2024 - Present

    Senior Machine Learning Engineer
    Lazy Dynamics
    • Developed real-time ML and signal processing solutions with emphasis on low-latency inference, streaming data, and production-oriented constraints
    • Worked on SLAM and robotics inference systems inspired by iSAM2-style incremental smoothing and mapping
    • Designed probabilistic inference pipelines for dynamic systems, combining Bayesian modeling, factor graphs, and real-time implementation constraints
  • 2020 - Present

    Co-Founder
    MakesPerfect
    • Founder of a Data Science Sport company
    • Incorporating State-of-the-Art technologies in practice
    • Supported KNVB in preparation & match analysis during FIFA World Cup Qatar 2022
  • 2018 - 2019

    Student Assistant
    Eindhoven University of Technology
    • Assisting Full Professors in their teaching of several courses
    • Facilitating tutorial sessions for students
  • 2020 - 2023

    Advisory Committee
    E.S.Z.V.V. Totelos
    E.S.Z.V.V. Totelos is the student Futsal association of Eindhoven. With more than 200 members it is one of the largest student associations in Eindhoven.
    • Ensuring the financial stability of the association
    • Assisting the treasurer in the compilation of the yearly financial documents
    • Checking and approving financial plans proposed by the board
  • 2018 - 2019

    Board Member - Commissioner NZVB
    E.S.Z.V.V. Totelos
    • Running an association of ±200 members
    • Writing an association policy and vision, ensuring the growth of the association through a multi-year policy
    • Incorporating association policy in financial plans and management
  • 2017 - 2018

    Co-Founder & External Affairs Officer
    D.S.A. Pattern
    D.S.A. Pattern is the study association for the Data Science study programme, and is the starting point for the professional career of Data Science students.
    • Chairing a committee responsible for the external relations of the association
    • Creating and maintaining close relations with business partners
    • Executing the career-oriented vision of the university and the association

Education

  • 2022 - Present

    PhD Bayesian Machine Learning
    Eindhoven University of Technology
    Variational Realizations of Active Inference
    • Research on Active Inference as variational inference: scalable, message passing-based planning and decision-making
    • Core developer of RxInfer.jl; author of GraphPPL.jl and RxEnvironments.jl
  • 2019 - 2022

    MSc. Computer Science and Engineering
    Eindhoven University of Technology
    Data Science in Engineering
    • Cum Laude
    • Thesis on Graph Neural Networks in particle shower reconstruction
  • 2016 - 2019

    BSc. Data Science
    Eindhoven University of Technology & Tilburg University
    Data Science
    • Cum Laude
    • Minor in Business Analytics and Operations Research

Publications

  • 2026
    Expected Free Energy-Based Planning as Variational Inference
    Transactions on Machine Learning Research

    First author.

  • 2026
    What Type of Inference Is Active Inference?
    Conference on Uncertainty in Artificial Intelligence (UAI)

    First author.

  • 2025
    The Quotient Bayesian Learning Rule
    Advances in Neural Information Processing Systems (NeurIPS)

    Co-author.

Skills

Bayesian Inference (Expert): Bayesian Probability theory, Variational Inference, Active Inference, Control theory
Programming (Expert): Python, Julia, Reactive Programming, Probabilistic Programming
Machine Learning (Expert): Bayesian Machine Learning, Deep Learning, Traditional ML techniques, Graph Neural Networks

Languages

Dutch : Native speaker
English : Fluent
Spanish : Intermediate