I’m a specialist in information management. However, I’ve become an AI engineer after but shifted focus after recognizing the lack of computational tools.
My expertise lies in building AI-driven networks, with a focus on natural language processing, knowledge graphs, and information extraction.
Currently, I balance freelance projects in data gathering and agentic large language models (ALLM) with a semantic search project that converts scientific literature into accessible, machine-readable knowledge graphs.
I actually come from the bioinformatics space, where I touched gene-sequence optimization algorithms and analyzing GWAS studies.
My ultimate goal? Making scientific information more discoverable and understandable – for everyone.
Let’s Connect: Interested in NLP innovation, semantic search, or knowledge graph applications? Drop me a message.
My biggest strength and weakness:
I’m not afraid to tackle the hardest problems.
TIGP scholarship at Academia Sinica – microbial engineering, mRNA vaccines, and AI for scientific text extraction under Pres. James C. Liao (廖俊智).
Conducted Master’s thesis in protein NMR and metal-ion binding under Prof. Oliver Zerbe, complemented by interdisciplinary coursework in radiochemistry, bioinformatics, and protein structural analysis while developing programming skills in R and Bash.
Building a broad academic foundation — ranging from Physiology and Anatomy I & II to Physical Chemistry II.
Developed innovative cell-free CO2 fixation systems with multi-enzymatic pathways that achieved faster fixation rates than plants, performing protein purification, enzyme stability assays, and analytical measurements.
Engineered metabolic circuits in E. coli and conducted adaptive laboratory evolution to enhance the production of feedstock chemicals for industrial applications.
Engaged directly with consumers as a brand representative for multiple premium companies, conducting promotional activities, tastings, and product demonstrations at POS, trade shows, and street-level marketing events.
