---
title: Braincreators | Research & Education
description: Explore Braincreators’ cutting‑edge AI studies in visual inspections. Learn how our domain‑expert research fuels smarter solutions for real‑world challenges.
image: https://www.braincreators.com/hubfs/AI_020_8596.jpeg
---
# Research & Education
## We contribute and give back to the community
Maarten Stol leads our science and research department since 2016 By welcoming talent to work with us on research projects and sharing our learnings publicly, we stay on the cutting edge of AI research.
Internships
Since 2016, we've welcomed the best talents for internships and graduation projects. They gain practical experience, and we benefit from their innovative ideas.
Research
We are active in the AI research community as guest lecturers, workgroup members, and researchers.
Talks & Panels
We speak at events, participating in podcasts, and engaging in interviews and discussions.
Maarten Stol
Internships
Research
Appearances
Maarten StolInternshipsResearchAppearances
Chief Scientific Officer
## Maarten Stol
Maarten excels at bridging the gap between cutting-edge AI research and the industry's demand for scalable software products. He earned his **M.Sc. in Artificial Intelligence** from the University of Amsterdam in 2000, focusing on computational logic and nature-inspired optimisation algorithms. His early interests spanned automated theorem proving to genetic algorithms and neural network technology.
Joining Braincreators in 2016, Maarten has since delved into a wide range of Machine Learning research topics at the intersection of industry and academia. His work on areas like **object detection models, deep clustering, and neural network compression** has directly led to new product features, exciting academic thesis projects, and publications, successfully attracting young talent to the company.
He works closely with BrainCreators' ML teams today, offering guidance on experiment design, ML deployment monitoring, and developing their technical skills.
Before BrainCreators, Maarten gained diverse experience as a teacher, researcher, consultant, and software developer, often within innovative start-ups. Now, he advises industry partners on **AI adoption, explainable AI, and aligning AI potential with client needs**. He regularly shares his insights on the interplay between AI academia and industry through speaking engagements and contributions to BrainCreators' "Insights" blog.
Committed to knowledge sharing, Maarten became a lecturer for the **Master of Applied AI at the Amsterdam University of Applied Sciences (HvA)** in 2023. Further deepening his academic pursuits, he joined the "**Learning and Reasoning**" group at the **Vrije Universiteit Amsterdam (VU)** in 2024 as a guest researcher. There, he is pursuing his Ph.D. in Neuro-Symbolic AI, happily reuniting his foundational love for logic and knowledge engineering with his professional experience in deep learning. His current academic research focuses on integrating symbolic knowledge into differential Machine Learning optimization and addressing challenges in Neuro-Symbolic benchmarking design.
Graduating in applied AI reality
## Internships
Since 2016, many students have joined us as interns; some have started their careers with us after graduation. Interested in applying? Pass your first test by contacting us!
TOUCH
Shantanu Motiani Data Scientist
Shantanu Motiani Data Scientist
TOUCH
Joely Lin Machine Learning Engineer
Joely Lin Machine Learning Engineer
TOUCH
Micha de Groot ML & Backend Engineer
Micha de Groot ML & Backend Engineer
TOUCH
James Bonello Machine Learning Engineer
James Bonello Machine Learning Engineer
TOUCH
Roos Janssen Product Manager
Roos Janssen Product Manager
TOUCH
Stijn Verdenius Machine Learning Engineer
Stijn Verdenius Machine Learning Engineer
TOUCH
Mert Yaylaci Machine Learning Engineer
Mert Yaylaci Machine Learning Engineer
TOUCH
Willemijn de Hoop Machine Learning Researcher
Willemijn de Hoop Machine Learning Researcher
TOUCH
Andrei Apostol Machine Learning Engineer
Andrei Apostol Machine Learning Engineer
TOUCH
Mattia Chenuil Data Scientist
Mattia Chenuil Data Scientist
TOUCH
Aanavi Sinha Machine Learning Researcher
Aanavi Sinha Machine Learning Researcher
TOUCH
Thijs Brouwers Machine Learning Researcher
Thijs Brouwers Machine Learning Researcher
TOUCH
Guy Veenhof Machine Learning Engineer
Guy Veenhof Machine Learning Engineer
TOUCH
Martine Toering Machine Learning Researcher
Martine Toering Machine Learning Researcher
TOUCH
Irma Mastenbroek Deep Learning Intern
Irma Mastenbroek Deep Learning Intern
TOUCH
Wenbo Sun PhD Candidate
Wenbo Sun PhD Candidate
TOUCH
Daniel Nobbe Data Scientist
Daniel Nobbe Data Scientist
TOUCH
Daniel Lutscher Machine Learning Researcher
Daniel Lutscher Machine Learning Researcher
TOUCH
Jochem Loedeman Machine Learning Engineer
Jochem Loedeman Machine Learning Engineer
TOUCH
Hristo Petkov Data Scientist
Hristo Petkov Data Scientist
TOUCH
Dror Guldin Data Scientist
Dror Guldin Data Scientist
TOUCH
Noud Corten Data Engineer
Noud Corten Data Engineer
TOUCH
Ioannis Gatopoulos Machine Learning Engineer
Ioannis Gatopoulos Machine Learning Engineer
TOUCH
Anton Radice Machine Learning Engineer
Anton Radice Machine Learning Engineer
We never stop learning.
## Research publications
A selection of papers to which Maarten contributed.
- IID Relaxation by Logical Expressivity: A Research Agenda for Fitting Logics to Neurosymbolic Requirements
[https://arxiv.org/abs/2404.19485](https://arxiv.org/abs/2404.19485)
- Prompt Generation Networks for Input-Space Adaptation of Frozen Vision Transformers
[https://arxiv.org/abs/2210.06466](https://arxiv.org/abs/2210.06466)
- Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting
[https://arxiv.org/abs/2106.10137](https://arxiv.org/abs/2106.10137)
- Mixing Consistent Deep Clustering
[https://arxiv.org/abs/2011.01977](https://arxiv.org/abs/2011.01977)
- lipOut: Uncovering Redundant Weights via Sign Flipping
[https://arxiv.org/abs/2009.02594](https://arxiv.org/abs/2009.02594)
- Super-resolution Variational Auto-Encoders
[https://arxiv.org/abs/2006.05218](https://arxiv.org/abs/2006.05218)
- Pruning via Iterative Ranking of Sensitivity Statistics
[https://arxiv.org/abs/2006.00896](https://arxiv.org/abs/2006.00896)
We share our learnings
## Appearances
Watch for new opportunities and join the conversation on our [LinkedIn](https://www.linkedin.com/company/braincreators/) page.
- 
Rogier Geertzema at JADS
- 
Maarten Stol at Martini Plaza Groningen
- 
Maarten Stol at Rockstart AI Den Bosch
- .jpg?width=1599&height=899&name=Image%20uploaded%20from%20iOS%20(7).jpg)
Maarten Stol at Science Park Amsterdam
- 
Maarten Stol at AMSIX
- 
Maarten Stol in Ljubljana
"Turning AI research into successful software products often feels like standing on the shoulders of giants: I'm trying my best not to fall off while pointing towards the next big thing." - Maarten C. Stol
## Get in touch
Looking for an internship? Interested in having us give a guest lecture, join a podcast, or engage in AI research and education activities? Please complete the form below, and we'll respond soon.
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