I build things at the intersection of design, computation, and complex systems.

I started at Parsons studying industrial design: learning to work within systems and constraints. It taught me that no solution exists in isolation.

I later minored in psychology, exploring how people make decisions and how those decisions shape systems.

After graduating, I worked across healthcare, consumer products, and packaging industries. The contexts were different, but the method of human-centric solutions stayed the same.

Returning to Thailand, I noticed that good design was largely inaccessible to the small businesses that make up most of the economy.

So I started a small social enterprise to help local businesses access design and strategy.

Designing systems that couldn't adapt started to feel like a ceiling. That brought me to computation.

Now at Harvard, I focus on computational science and machine learning — collaborating with designers, scientists, and engineers at Harvard and MIT on robotics and ML projects.

I'm interested in what becomes possible where those worlds intersect!