Thomas To, a full-stack AI engineer, believes some of AI's most meaningful developments are emerging within drug discovery. While public conversations may often focus on chatbots and workplace automation, To sees specialized AI systems trained on scientific data as an important area where technology and biology can work together to support researchers exploring new therapies.
His perspective comes from experience across both scientific and engineering environments. He began as a scientist who needed better computational tools and evolved into an engineer building platforms that support scientific users. His work combines domain knowledge, software development, machine learning infrastructure, and technical communication, allowing him to translate complex scientific concepts into practical systems.
