Martyna Moskal

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About

Martyna Moskal is a pioneering researcher at the intersection of chemistry and artificial intelligence, whose work is reshaping how scientists discover and design organic reactions. Her most impactful contribution, "A computer algorithm to discover iterative sequences of organic reactions" (2022, 29 citations), introduced a novel computational approach that automates the identification of multi-step synthetic pathways, significantly accelerating the traditionally labor-intensive process of reaction discovery. This algorithm has become a foundational tool for chemists seeking to streamline complex syntheses. More recently, Moskal's work on "Catalyst: Curtailing the scalable supply of fentanyl by using chemical AI" (2024, 9 citations) demonstrates a powerful, socially responsible application of her expertise. By leveraging chemical artificial intelligence, she developed methods to disrupt the illicit production of fentanyl, showcasing how AI can be harnessed for public health and security. Her research not only advances fundamental organic chemistry but also addresses pressing real-world challenges, establishing her as a leader in the emerging field of AI-driven chemical design.