Max Robotics — Global Service Robot Directory + US Certification

About

Fanyang Mo is an emerging researcher at the forefront of integrating automation and artificial intelligence into organic chemistry, pioneering approaches that are fundamentally reshaping how chemical research is conducted. His work addresses one of the field's most pressing challenges: transitioning organic chemistry from labor-intensive, manual workflows toward intelligent, AI-driven methodologies that dramatically enhance efficiency and reproducibility. Mo's most notable contributions center on two interconnected themes. His influential work on AI-powered prediction in chromatographic separation explores how machine learning can optimize separation technologies — including TLC, column chromatography, GC, and HPLC — reducing the expertise and trial-and-error traditionally required in purification workflows. Complementing this, his widely recognized framework on automation's role in transforming organic chemistry research paradigms articulates a compelling vision for how AI and robotics are converging to accelerate discovery across the discipline. Though his publication record is still developing, with his most-cited works accumulating citations since 2023, Mo's research has already attracted meaningful attention from the chemistry community. His scholarship positions him as a thought leader in the emerging intersection of chemical synthesis, data science, and laboratory automation — areas of growing importance for the next generation of researchers.