Resume
Contact Information
| Name | Wouter Nuijten |
| 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
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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
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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
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2018 - 2019 Student Assistant
Eindhoven University of Technology
- Assisting Full Professors in their teaching of several courses
- Facilitating tutorial sessions for students
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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
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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
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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
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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
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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
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2016 - 2019 BSc. Data Science
Eindhoven University of Technology & Tilburg University
Data Science
- Cum Laude
- Minor in Business Analytics and Operations Research
Publications
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2026 Expected Free Energy-Based Planning as Variational Inference
Transactions on Machine Learning Research
First author.
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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