I've always been curious about the world and enjoyed learning new things, especially understanding how and why things work.

Before moving into data analytics and technology, I spent around four years in traditional biomedical laboratories, where I studied how protein structure and function can help us understand the biological mechanisms behind viral infectious disease. That experience strengthened my analytical thinking and taught me how to work through complex, uncertain problems with curiosity and persistence.

Over time, I became increasingly interested in using programming and data to solve problems in a different way. That curiosity eventually led me into data science, where I discovered how much I enjoy combining analytical thinking with technology to build practical solutions.

Today, I’m continuing to develop my skills across data, software and AI. As technology evolves rapidly, I want to keep learning, broaden my capabilities, and use what I build to create practical solutions that can make a meaningful difference in people’s lives.