Doga Yamac Ozgulbas

I specialize in developing advanced automation systems for self-driving laboratories, with expertise in creating intelligent interfaces that bridge the gap between complex robotic hardware and sophisticated research workflows.

In my work, I architect comprehensive automation solutions that orchestrate diverse robotic platforms within laboratory environments. By developing robust control systems and innovative software frameworks, I enable seamless integration of multiple robots working in concert to accelerate scientific discovery.

My approach has transformed traditional laboratory operations by implementing artificial intelligence and computer vision technologies that allow robots to perceive and adapt to their surroundings. Rather than relying on predetermined coordinates, these systems can autonomously identify laboratory components and make intelligent decisions in dynamic environments, significantly enhancing operational flexibility and efficiency.

I’ve contributed to several automation breakthroughs in cutting-edge research initiatives, including the development of novel liquid handling systems for advanced X-ray measurements. My integration of robotics with experimental beamlines has streamlined sample preparation and data acquisition processes, enabling previously unattainable measurement capabilities.

I also focus on developing sophisticated data management platforms that incorporate various databases and interfaces, creating cohesive ecosystems where experimental data and robotic operations are seamlessly integrated. These systems enable efficient data flow from experiment design through execution to analysis, creating a foundation for data-driven scientific discovery.

I remain committed to driving innovation at the intersection of robotics, artificial intelligence, and scientific research, creating transformative solutions that accelerate discovery and expand the frontiers of automated experimentation.