Summary
Gwang Kim is a bioinformatics and data science consultant with a PhD in Molecular Medicine and over eight years of experience turning sequencing and spectral data into production-grade analytics and ML products for biotech and pharma. He bridges wet-lab biology and software engineering—building reproducible genomics pipelines (Nextflow/Snakemake, Docker, cloud), deploying AI/LLM integrations for variant annotation and literature mining, and shipping tools still used daily by scientists (e.g., a Novartis Streamlit prediction tool). His academic work uncovered causative genes for a rare skin disease and a key testis regulatory element, contributing to research cited over 1,200 times, while his industry work includes Raman-to-composition CNNs and graph-backed RAG prototypes to reduce LLM hallucinations. A frequent technical writer with 140+ Medium posts and a track record of making complex science investor- and audit-ready, he consults across the Swiss biotech corridor and remotely.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Molecular Medicine, Doctor of Philosophy - PhD, Molecular Medicine at The University of Freiburg
German, English, Korean