Marco Brigham - Chief Scientific Officer at Smurfit Kappa

Marco Brigham

Chief Scientific Officer at Smurfit Kappa

Antwerp, Antwerp, Belgium

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Summary

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Rockstar

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Top School

Marco Brigham is a Chief Scientific Officer and machine learning leader with a decade of experience building research-driven ML systems for document processing, healthcare, and consumer applications. He leads R&D at Moonoia, architects production ML pipelines (notably for automated menu curation at FoodStyles), and consults on performance scaling and baselines for enterprises through Smurfit Kappa. His background blends a PhD in Computational Neuroscience and an MSc in AI with hands-on deep learning work—from convolutional handwriting recognition to automated sleep-disorder labeling—giving him strong probabilistic and applied ML expertise. Marco contributes to open educational projects like Neuromatch Academy, where he has improved Bayesian-focused Jupyter tutorials, reflecting a commitment to reproducible teaching and clear scientific communication. He combines academic rigor with product-minded delivery, often translating complex probabilistic models into robust, deployable systems. Based in Antwerp, he brings a rare mix of neuroscience intuition and pragmatic engineering to bridge research and production.

10 years of coding experience

5 years of employment as a software developer

Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at The University of Edinburgh

Bachelor of Science - BS, Thoeretical Physics, Bachelor of Science - BS, Thoeretical Physics at Université catholique de Louvain

Doctor of Philosophy - PhD, Computational Neuroscience, Doctor of Philosophy - PhD, Computational Neuroscience at Pierre and Marie Curie University

Master of Science - MS, Computer Audit, Master of Science - MS, Computer Audit at Universiteit Antwerpen

French, English, Portuguese, Dutch, Spanish

Github Skills (7)

neuroscience10

jupyter-notebook10

develop10

python10

machine-learning9

scikit-learn5

scikit5

Programming languages (3)

HTMLJupyter NotebookPython

Github contributions (5)

NeuromatchAcademy/course-content

May 2020 - Jul 2020

NMA Computational Neuroscience course

Role in this project:

Full-stack Developer

Contributions:33 commits, 36 PRs, 13 pushes in 1 month

Contributions summary:Marco's commits primarily involve modifications to Jupyter Notebook tutorials within a computational neuroscience course. They are updating and splitting existing tutorials, specifically focusing on the "Bayes Day" material. These changes include code modifications and content adjustments within the notebooks, indicating contributions across both the implementation (code) and presentation (content/structure) aspects of the tutorials. The user's work directly impacts the course content, particularly in the area of Bayesian analysis.

neurosciencedynamic-systemspythoncomputational-neurosciencemachine-learning

ccnss/ccnss2017_students

Jul 2017 - Jun 2020

Contributions:15 commits, 14 pushes in 2 years 11 months

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