Norwegian version of this page

Ane Kristine Espeseth

Doctoral Research Fellow - Center for Computing in Science Education

Academic interests

I'm interested in the emergence, evolution and dynamics of cognitive abilities, both in biological and artificial brains. 

For my PhD, I'm exploring various concept-based and mechanistic interpretability methods (e.g. contextual embeddings and neural circuits) to better understand how large language models (LLMs) process and reproduce information. 

Previously I have worked on computational models for child language acquisition (Bachelor dissertation), evolutionary methods for adaptive social behaviour in LLM chatbots (Master thesis), as well as smaller projects on bio-inspired algorithms. I have also done some joint research in abstract mathematics. 

Courses taught

Dissemination and Communication

  • 23.10.2026: Abels tårn - Hvor kjipe virus kan KI lage? (How awful are the viruses AI could create)? (panel member)
  • 09.10.2026: INTEDs PhD forum - Cognitive Entanglements in Animals and Machines (talk)
  • 20.08.2026: ALIFE2026 - Workshop on Agentic and Generative AI as Artificial Life - Safe and Secure Ecologies of Autonomous Agents (panel member)
  • 20.08.2026: ALIFE2026 - Workshop on Agentic and Generative AI as Artificial Life - Conversable Complexity: Agentic LLM Collectives as Interpretable Substrates (short talk)
  • 18.08.2026: ALIFE2026 - Emerging Researchers in Artificial Life (ERA) MiniConference (host and co-organiser)
  • 30.06.2026: ICCC26 - The Affordance is the Message: Creative Media as Complex Systems (short talk)
  • 05.06.2026: Abels tårn - Blir bananer bra brennstoff? (Would bananas be good as fuel?) (panel member)
  • 21.05.2026: CCSEs ODD seminar - Multiple-Noise Tests: Separating Surface-Form Guessing from Stable Responses in LLM Benchmark Behaviour (talk)
  • 14.11.2025: Psychology Department - Postdoctoral Program Module 4: AI and research - Embedding models for text analysis (talk)
  • 19.03.2025: IEEE Symposium Series on Computational Intelligence - Young Professionals: Insight Into Academia and Career Paths (panel member)

Background

I hold a Bachelor of Arts (Honours) in Computer Science from the University of Cambridge (United Kingdom), and a Master of Science in Cognitive Science from Seoul National University (South Korea). 

Awards

  • 1st place, European Contest for Young Scientists (2016)

Appointments

  • Organiser, Artificial Life, Intelligence, Complexity and Evolution Workshop (ALICE), Geilo 2027
  • Graduate Student Representative, International Society for Artificial Life (2024-2026)

Positions held

  • PhD Candidate, CCSE & INTED, University of Oslo (spring 2025 - present)
  • Research Assistant, CCSE & INTED, University of Oslo (autumn 2024 - spring 2025)
  • Lab Member, Human Factors Lab, Seoul National University (spring 2024)
  • Lab Member, BioIntelligence Lab, Seoul National University (autumn 2022 - spring 2024)
  • Software Developer, Cambridge Press & Assessment (autumn 2020 - spring 2021)
  • Undergraduate Researcher, ALTA group, University of Cambridge (summer 2019)

 

Tags: LLM, XAI, Interpretability, Cognitive Science, Embedding Spaces
Published June 4, 2025 9:53 AM - Last modified Oct. 23, 2026 2:56 PM