
About
Yaehyun Lee
MSc student, Biotechnology & Pharmaceutical Management, UCL · I write BIO:ON
BIO:ON is the newsletter I write each week while learning about the biotech and pharma industry. I read the original global coverage and share what I've understood through a Korean lens and a career lens. I'm still learning, so where expert judgement is needed I draw on published industry sources and public interviews with people in the roles, always cited.
For recruiters
I'm looking for graduate programmes and internships starting in 2027.
- Target roles
- Pharma supply chain & operations, regulatory affairs, commercial & market access
- Available from
- 2027 (after completing my MSc at UCL)
- Location
- United Kingdom · South Korea
- Languages
- Korean · English (native/bilingual)
Highlights
- Excellence Award, AI & Big Data Convergence Competition (Army Signal School, Ministry of National Defense): a pharmaceutical demand forecasting and inventory optimisation concept, selected from around 200 finalist teams (team of 4)
- Medic, Republic of Korea Army: revised the unit's SOPs for inspecting and managing medicines and medical supplies, adopted unit-wide
- BIO:ON Insight: writing a weekly Korean/English biotech and pharma newsletter with cited sources since June 2026
- BSc Pharmacology, UCL (2:1); elected Academic Representative for the pharmacology cohort (2021–2023)
Education
- Sep 2026 – Sep 2027Expected
MSc Biotechnology & Pharmaceutical Management
University College London (UCL)
- Jun 2024Graduated
BSc Pharmacology
University College London (UCL)

A media project built with AI
BIO:ON runs on an AI-assisted workflow from research to publishing. This site itself was designed and coded with Claude Code.
- 1
Research & translation
Global press releases are gathered and machine-translated first, then checked line by line against the originals.
- 2
Newsletter production
An email-safe HTML template co-designed with AI keeps the structure fixed while the content changes weekly.
- 3
Card news & reels
A pipeline turns each issue into an Instagram carousel automatically.
- 4
This website
Built from scratch in Next.js — bilingual, with automatic archive import, and AI translation, summaries and a chatbot on the way.
21 issues published (KO/EN)
