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About

Ievgeniia Tiukova is a researcher working at the dynamic intersection of automated science, metabolomics, and antiviral drug discovery. Her work centers on harnessing laboratory automation and artificial intelligence to accelerate biological research, with particular emphasis on yeast-based experimental platforms and metabolic network modeling. Among her most notable contributions is AutonoMS, an automated ion mobility metabolomic fingerprinting system that reduces the bottlenecks of repetitive laboratory workflows, enabling faster and more reproducible scientific discovery. Tiukova has also made meaningful contributions to pandemic-related research, developing innovative yeast-based genetic trap platforms to screen inhibitors of the SARS-CoV-2 main protease — work that identified promising boron-containing antiviral compounds. Her involvement in the Genesis project, a next-generation robot scientist building on the foundational Adam and Eve systems, positions her at the forefront of closed-loop automated systems biology research. Further demonstrating her breadth, Tiukova contributed to LGEM+, a first-order logic framework for automated improvement of metabolic network models, and led efforts to identify inhibitors of *Plasmodium vivax* deoxyhypusine synthase for potential antimalarial applications. Though her publication record is recent, her work — accumulating citations across high-impact topics — signals a researcher rapidly establishing herself as a significant voice in automated life sciences.