Max Robotics — Global Service Robot Directory + US Certification

About

Doga Ozgulbas is an emerging researcher at the forefront of autonomous scientific discovery, specializing in self-driving laboratories (SDLs), robotic automation, and AI-driven materials design. Their work bridges cutting-edge robotics, high-performance computing, and artificial intelligence to accelerate scientific workflows at unprecedented scale. Most notably, Ozgulbas has contributed significantly to the conceptual and practical development of "science factories" — large-scale, modular laboratory infrastructures capable of supporting thousands of researchers through automated experimentation and AI-guided decision-making — a vision that has already garnered over 30 citations. Their innovative robotic pendant drop system, enabling microsecond-resolved X-ray Photon Correlation Spectroscopy on containerless liquids, demonstrates a sophisticated command of advanced materials characterization techniques. Ozgulbas has also pioneered benchmarking frameworks for SDLs and applied autonomous synthesis pipelines to the inverse design of electrochromic and electronic polymers, tackling notoriously complex structure-property relationships with remarkable efficiency and accuracy. Collectively, their contributions represent a compelling push toward fully integrated, AI-executable scientific discovery platforms, positioning Ozgulbas as a promising voice in the rapidly evolving landscape of automated materials science and laboratory autonomy.