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
- HON2200 – Data-driven projects (spring semester 2025)
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
- Graduate Student Representative, International Society for Artificial Life (2024 - present)
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)