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About

Marta Skreta is a pioneering researcher at the intersection of artificial intelligence, robotics, and chemistry, whose work is redefining how scientific experiments are conducted. Her primary research areas include large language models for scientific automation, robotic chemistry platforms, and human-robot interaction for laboratory tasks. Skreta’s most impactful contribution is the development of ORGANA, an assistive robotic system that automates complex chemistry experiments—from polishing electrodes to characterization—using natural language instructions. This work, along with her paper on "Large language models for chemistry robotics" (98 citations), has laid the groundwork for autonomous, AI-driven laboratories. She also led the creation of Chemspyd, an open-source Python interface for Chemspeed robotic platforms, enabling dynamic communication and democratizing access to lab automation (23 citations). Her innovative approach to using errors as prompts for iterative task programming has further advanced robot planning from high-level instructions. With over 260 total citations and multiple first-author publications in top venues, Skreta is a rising star in AI for science, bridging the gap between language models and physical experimentation.