Andreas Høeg-petersen is a PhD candidate at Aalborg University and an experienced software engineer with 11 years of applied development and team leadership, currently researching reinforcement learning and explainability. He combines a strong Python/Django background with academic work on using causality and recurrent neural networks to build interpretable agent models and generate actionable explanations for behavior. Previously he led software development at a Copenhagen startup, blending product-focused engineering with research rigor from his Computational Science master's at IT-Universitetet i København. Based in Copenhagen, Andreas brings practical production experience and supervisory chops to bridge the gap between prototype RL research and deployable systems.
11 years of coding experience
2 years of employment as a software developer
Master's degree, Computational Science, 12, Master's degree, Computational Science, 12 at IT-Universitetet i København
Contributions:20 pushes, 1 branch in 3 years 4 months
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