CV

Contact Information

Name Bertram Højer
Professional Title PhD Student · NLP, ML, & AI
Email berh@itu.dk
Location Copenhagen,

Professional Summary

I’m a 2nd year PhD student at the IT University of Copenhagen studying reasoning and logic in language models.

Experience

  • 2024 - 2024

    Copenhagen, Denmark

    Teaching Assistant in Advanced Machine Learning
    IT University of Copenhagen
    • Covered material from basic implementations of deep neural networks, to auto-encoder and transformers.
  • 2022 - 2023

    Copenhagen, Denmark

    Data Scientist
    Nexcom
    • Development and deployment of ML classification models for automated labeling of speech and text data
  • 2020 - 2022

    Aarhus, Denmark

    Researcher
    Interacting Minds Center, Aarhus University
    • Experimental design, data analysis, participant coordination, fMRI scanning and analysis
  • 2020 - 2021

    Aarhus, Denmark

    Researcher
    Political Science, Aarhus University
    • Web-scraping, natural-language processing, and data analysis
  • 2019 - 2020

    Aarhus, Denmark

    Researcher
    Cognition & Behavior Labs, Aarhus University
    • Experimental design and participant coordination
  • 2026 - 2026

    Copenhagen, Pioneer Centre

    Co-organizer
    Reasoning in the Embedding Space, IRN CLoVe Workshop (CNRS)

Education

  • 2024 - 2027

    Copenhagen, Denmark

    PhD Fellow (current)
    IT University of Copenhagen
    Computer Science
    • Recipient of the ITU PhD Open Call Scholarship to work on AI reasoning and NLP.
    • ETH Zürich (Sep. 2025 - Jan. 2026): Academic guest researcher at Rycolab.
  • 2022 - 2024

    Copenhagen, Denmark

    MSc
    IT University of Copenhagen
    Data Science
    • Advanced Machine Learning, Applied Statistics, Machine Learning, and Natural Language Processing
    • Erasmus Exchange at Politecnico di Milano, Artificial Intelligence Track (2023)
  • 2018 - 2021

    Aarhus, Denmark

    BSc
    Aarhus University
    Cognitive Science & Mathematics
    • Computational Modeling, Statistics, Philosophy of Mind, and Computational Neuroscience
    • Minor in Mathematics: Mathematical Analysis, Scientific Computing, and Linear Algebra

Publications

  • 2025
    Improving Reasoning in Large Language Models via Representation Engineering
    ICLR 2025

    Singapore

  • 2025
    Research Community Perspectives on "Intelligence" and Large Language Models
    ACL Findings 2025

    Vienna

Awards

  • 2025
    PhD Research Exchange Grant: 50.000 dkr.
    Stibo Foundation

    Grant recipient for PhD research exchange.

Skills

NLP & Machine Learning (Expert): Natural Language Processing, Large Language Models, Representation Engineering, Reasoning, Deep Learning

Languages

Danish : Native speaker
English : Fluent

Interests

AI & NLP: Reasoning in Language Models, Representation Engineering, Natural Language Processing, Machine Learning