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About

Liva Donina is a pioneering researcher at the intersection of organic chemistry and artificial intelligence, best known for her groundbreaking work in autonomous chemical synthesis. Her landmark 2018 study, "Controlling an organic synthesis robot with machine learning to search for new reactivity," has garnered over 770 citations, fundamentally reshaping how chemists approach reaction discovery. Donina’s key contribution lies in integrating machine learning algorithms with robotic platforms to autonomously explore chemical space, enabling the identification of novel reactivity patterns without human bias. This work not only accelerates the pace of discovery but also democratizes access to complex synthetic methodologies. By demonstrating that AI-driven systems can outperform traditional trial-and-error approaches, she has established a new paradigm for high-throughput experimentation. Her research has profound implications for drug development, materials science, and sustainable chemistry, where rapid, data-driven exploration is critical. Donina’s achievements have positioned her as a leading voice in the emerging field of digital chemistry, inspiring a generation of researchers to embrace automation and artificial intelligence as essential tools for solving chemical challenges.