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Aalborg University
Data Scientist
June 29, 2026 – Present
Br41n-Hackathon---MED8
April 23, 2026 – Present
Br41n-Hackathon---MED8 — GitHub repository
View ProjectEmbodied-interaction
March 28, 2026 – Present
My repository for the AAU Copenhagen course on Embodied Interaction, which explores movement quality, bodily presence, and the creation and assessment of embodied systems.
View ProjectRTCG_Analysis
January 14, 2026 – Present
An advanced geometric analysis toolkit for 3D mesh data. It uses Principal Component Analysis (PCA), both global and local, to characterize structural variations, visualize primary axes of variation, and quantify fine-grained differences within a mesh's geometry.
View ProjectLSLOpenSignalsUE
October 26, 2025 – November 20, 2025
This project implements a full pipeline that goes from raw EDAa d BBPbiosignals to real‐time user-state ML predictions.
View Projectsmogelmose.github.io
August 19, 2025 – Present
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
View ProjectRLProject
April 13, 2025 – Present
RLProject is an Unreal Engine 5.5 project that explores the **Learning Agents** plugin-a machine learning framework for training AI characters using reinforcement learning (RL) and imitation learning (IL).
View ProjectGridProject
April 13, 2025 – Present
A custom solution for robust, grid-based navigation and pathfinding in Unreal Engine. Utilizes A* algorithm as a default replacement for the standard navigation mesh system.
View Projectrhino_sketchbook
March 14, 2020 – January 20, 2022
Scripts made with Python 🐍 working with the Rhino API 🦏
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in diverse applications of data science and machine learning, ranging from geometric analysis to embodied interaction and biosignal processing. This breadth of interest could indicate adaptability and a willingness to explore new domains. However, the projects are predominantly personal, and there is only one current professional experience listed as 'Data Scientist' at Aalborg University with a future start date, making it difficult to assess cultural fit in a team or corporate environment. The 'experienceLevel' is 0, which contradicts the 'Data Scientist' role at a university, suggesting a potential mismatch or a very early career stage. The target role is 'Data Scientist', and while the projects align with data science principles, the lack of professional experience makes the fit speculative.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and experimental approach to learning new technologies and applying them to various domains, including 3D geometry, facial expression analysis, and biosignal processing. The personal nature of most projects suggests self-motivation and initiative. However, without psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is not possible.