Björn Pettersson

BSc Computer Science & Economics, University of Copenhagen
Copenhagen, Denmark  ·  bjpe1727@gmail.com  ·  +45 60664608  ·  LinkedIn  ·  GitHub
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Projects
(In progress) Battery asset revenue optimisation 2026
BA thesis with Enyday. MILP model for FCR-D up, down, and spot arbitrage stacking for behind-the-meter energy communities in DK2. Uses real 2025 operational data.
100M: Generative design for refugee camps 2022–2023
Generative deisgn using wave function collapse for refugee camp planning. Built as a generative design tool in collaboration with CARE.
PUG: Deep Q-Learning for architectural design 2021
Co authored with Diego Apellániz through reserach assistant role. Reinforcement learning agent for generative spatial layout, published as a flexible reinforcement learning framework for cradle-to-cradle design.

Education
Seoul National University  Exchange 2025
Deep learning syllabus hw1 hw2 hw3
Advanced deep learningMoE · transformer routing syllabus report code
Mechanism design syllabus proposal slides
Operations management syllabus hw1 hw2 slides
University of Copenhagen  2023–2026
Bachelor projectenergy arbitrage · DK2 · MILP
Philosophy of science for computer science and economics syllabus exam
Macroeconomics B syllabus
Microeconomics B syllabus exam
Econometrics B syllabus
Databases and information systems syllabus
Algorithms and data structures syllabus exam hw1 hw2 hw3 hw4
High performance programming and systems syllabus exam code
Econometrics A syllabus
Macroeconomics A syllabus
Numerical methods syllabus
Linear algebra in computer science syllabus
Introduction to discrete mathematics and algorithms syllabus
Microeconomics A syllabus
Probability and statistics syllabus
Introduction to economics syllabus
Introduction to mathematics in natural science syllabus
Programming and problem solving syllabus

Previous Career