Björn Pettersson
BSc Computer Science & Economics, University of Copenhagen
Experience
Enyday, BA Thesis: Energy Arbitrage & Ancillary Services 2026
MILP optimisation model in Python on real 2025 operational data (tariff structures, spot prices, frequency data) evaluating FCR-D, aFRR, and spot arbitrage stacking for behind-the-meter battery assets in DK2.
Skills: Python · MILP optimisation · Pyomo · HiGHS solver (via Appsi_HiGHS) · pandas, numpy · time-series data processing
Enyday: Market Research / Business Developer 2021–2023
Market entry and regulatory research (EU REDII, ESG, taxonomy frameworks), business case development, and VC pitch prep for an energy company, part-time alongside studies.
Skills: Market & regulatory research (EU REDII, ESG, taxonomy) · business case development · investor pitch prep
Bollinger Grohmann: Research Assistant (w/ Berlin University of the Arts) 2021–2022
Co-developed PUG, a DQN reinforcement learning plugin for generative design in Rhino/Grasshopper, published on Food4Rhino. Co-authored paper presented at the Design Modelling Symposium Berlin.
Skills: C# / .NET · TensorFlow.NET · Rhino/Grasshopper plugin development · deep Q-learning (DQN)
Projects
Aggregated FCR-D participation for BTM energy communities 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.
Skills: Python · MILP optimisation · Pyomo · HiGHS solver (via Appsi_HiGHS) · pandas, numpy · time-series ingestion & processing
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.
Skills: Python · wave function collapse algorithm · generative design tooling · Rhino/Grasshopper (confirm)
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.
Skills: C# / .NET · TensorFlow.NET · Rhino/Grasshopper plugin development · deep Q-learning (DQN)
Ironic productivity app (for personal exploration) 2025
Personal exploration of full-stack web development with GitHub Copilot. An ironic app that fights dark patterns with dark patterns.
Skills: TypeScript · Next.js (App Router) · React · Prisma ORM · PostgreSQL · NextAuth (Google OAuth) · Tailwind CSS · Vercel deployment
StartupHub: AI RAG software for architects 2023–2024
Cofounded an AI RAG startup for architects (KA Startup Hub). Built MVP and conducted interviews, wound down pre-launch after Google NotebookLM launched.
Skills: product concept development · stakeholder interviews · REST API with LangChain & OpenAI API · Pinecone vector search · prototyping in Bubble · front-end in React (cofounder)
Community design strategy: Høje Taastrup station area (non-technical) 2023
Strategy to bring city life back to Høje Taastrup's station area, developed with the municipality using social science frameworks in a spatial context.
Skills: stakeholder management · social science frameworks applied in a spatial context · process design · public presentation
Education
Seoul National University Exchange 2025
Grades on SNU's Korean A+–F scale (not directly comparable to UCPH's 7-point/12-scale grades below)
Skills: Python · PyTorch · transformer architectures · mixture-of-experts routing · experiment tooling
University of Copenhagen 2023–2026
Bachelor projectenergy arbitrage · DK2 · MILPgrade 12
Macroeconomics Bgrade 10
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Econometrics B
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Databases and information systems
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Skills: C · OpenMP · parallel & systems programming · Linux toolchain, make (inferred)
Econometrics A
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Macroeconomics A
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Numerical methodsgrade 12
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Linear algebra in computer sciencegrade 12
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Introduction to discrete mathematics and algorithms
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Microeconomics Agrade 12
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Probability and statistics
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Introduction to economics
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Introduction to mathematics in natural sciencegrade 10
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Programming and problem solving
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Previous Career
MSc Architecture in Strategic Design & Entrepreneurship, The Royal Danish Academy & Copenhagen Business School joint programme.
During my masters I started at the CITA institute for computational design, where I fell in love with computer science through a research assistant role working on a DQN implementation that eventually got published. I switched to strategic design in my second year for a more practical and project-driven approach, but continued algorithmic design work in my master's thesis 100M — a generative design collaboration with CARE Denmark. Realising I wanted to work more theoretically, I made the switch toward a more technical career with my degree at the University of Copenhagen.