Jamie Morton
Senior Game Designer at Ubisoft Düsseldorf
Dusseldorf, North Rhine-Westphalia, Germany
Summary
🤩
Rockstar🎓
Top SchoolJamie Morton is a Senior Game Designer with over 20 years in the games industry and 13 years of professional experience crafting levels, mechanics and live-service content for major studios including Ubisoft and Spellbound. Based in Düsseldorf, he blends hands-on level design and 3D whiteboxing with strong documentation, mentoring and organisational skills to deliver playable pitches and monthly live updates for MMOs and mobile hits. He has steered R&D projects and contributed to enduring franchises such as CSI: Hidden Crimes, NCIS: Hidden Crimes and Growtopia, as well as early-stage console prototypes like Giana Sisters. Beyond games, Jamie contributes to open-source bioinformatics tooling—adding Clustal format support and tests to scikit-bio—demonstrating an uncommon cross-disciplinary interest in machine learning and multi-omics. Colleagues describe him as a pragmatic designer who improves editor workflows and mentors new staff while keeping player fun front and center.
12 years of coding experience
8 years of employment as a software developer
Photography, Photography at University of Derby
Github Skills (7)
bioinformatics10
python10
testing10
fileio9
file-access9
file-processing9
file-handling9
Programming languages (14)
Github contributions (5)
scikit-bio/scikit-bio
Sep 2014 - Mar 2022
scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:1 release, 119 reviews, 197 commits in 7 years 7 months
Contributions summary:Jamie primarily focused on adding Clustal output to the bioinformatics library, scikit-bio. Their work involved implementing parsing and writing functionality for Clustal-formatted multiple sequence alignments. They also added a test file and implemented tests for the parsing and writing features, ensuring the correct functionality of the Clustal format within the library.
scikitlicensedpythondata-sciencealgorithms-and-data-structures
flatironinstitute/deepblast
Jun 2020 - Jan 2023
Neural Networks for Protein Sequence Alignment
Contributions:5 releases, 11 reviews, 434 commits in 2 years 7 months
sequencelanguage-modelingdeep-learningneural-networksstructural-alignments
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