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About

Zeqing Bao is a leading researcher at the intersection of artificial intelligence, robotics, and autonomous experimentation, best known for developing "Atlas," a pioneering "brain" for self-driving laboratories (SDLs). This work, detailed in two highly cited papers (2023, 2025) with a combined 47 citations, establishes a foundational framework for closed-loop, autonomous research platforms that integrate AI decision-making, robotics, and high-performance computing. Bao’s major contributions include creating the critical algorithmic architecture that enables SDLs to prioritize experiments intelligently, dramatically accelerating the pace of scientific discovery. Beyond this core innovation, Bao has applied these principles to pressing challenges in nanomedicine, using active learning and automated experimentation to optimize drug formulations—a workflow that has already garnered 9 citations. Additionally, Bao developed an automated method for determining surfactant critical micelle concentrations, further demonstrating the versatility of their approach. By transforming how laboratories conduct experiments, Bao is not only advancing fundamental AI and robotics but also providing tangible tools for drug development and materials science, positioning them as a key architect of the next generation of autonomous scientific discovery.