AN LABNotes노트
Toward AI-Native Education: Lessons from LLM-Wiki
Why AI access should be basic educational infrastructure—and how LLM-Wiki can help students build knowledge around questions that are genuinely their own.
Reading annotation uncertainty as a biological signal
A short note on AnnQ, a framework for quantifying cellular abnormality from reference-based single-cell annotation uncertainty.
Single-Cell Foundation Models: Scale, Skepticism, and the Epistemology of Data Production
The state of single-cell FMs in 2026. Scale-up and skeptical evaluation are happening simultaneously, and the real bottleneck is not the model but how we produce causal data.
Using LLM-Wiki to Mentor Lab Students
A few ways to connect Karpathy's LLM-Wiki with lab mentoring and teaching — building a shared knowledge base, absorbing student questions, and preparing for meetings.
The Current State of Synthetic Enhancer Design
This year's omics foundation research is dominated by diffusion models and synthetic enhancers. Tracing the shift from prediction to design in the gLM field.
Karpathy's LLM-Wiki and Research in the Age of Agents
RAG vs LLM-Wiki, and reflections from Karpathy's talk on the direction of biology research in the agentic era. From information retrieval to knowledge construction, from coding to orchestration.
Manifesting: The Researcher in the Age of Agentic Loops
Reflections on Karpathy's latest talk. From coding to manifesting, and the difference between questions that enter the loop and those that remain outside it in biology research.
AlphaGenome, DNA Foundation Models, and ISM
What in silico mutagenesis (ISM) is, why it matters, and what it means in the context of DNA foundation models.
AlphaGenome, K562, and the Reality of Drug Discovery
The architecture and limitations of AlphaGenome, its dependence on K562 data, and why data investment matters in drug discovery.
What Should University Education Do in the Age of AI?
Reflections on teaching with AI in university courses and on education that helps students build their own narratives.
Writing a Textbook on AI for Genomic Science
Tracing the history of genomic AI, the rise of foundation models and virtual cells, and reflections on biology education.
Lectures and courses강의
Genetics유전학 (Genetics)
An undergraduate course at Korea University.고려대학교 학부 강의
Introduction to Bioinformatics생물정보학 기초 시리즈 (Introduction to Bioinformatics)
Foundational lectures on bioinformatics and bio big data analysis.생물정보학과 바이오 빅데이터 분석 기초 강의
한국제약바이오협회 온라인 교육
공개 강의 모음
[3rd 오티즘스쿨] "자폐의 유전자 연구: 유전자 연구란 무엇인가?"
2024 AUTISM EXPO 대중 강연
DNA를 통해 본 여성의 자폐 (제 19회 경암바이오유스캠프)
경암바이오유스캠프 고등학생 대상 강의
고려대학교의 클라우드를 활용한 유전체 분석 연구의 혁신 사례
AWS Seoul Summit 발표