
Viktoriia Turkina discusses toxicity prediction for unknown LC–HRMS features using machine learning.

Viktoriia Turkina is a PhD candidate at the University of Amsterdam, specializing in environmental and computational mass spectrometry. Her research focuses on non-targeted high-resolution mass spectrometry approaches for exploring the chemical space of exposomes. She holds dual master’s degrees in Excellence in Analytical Chemistry from the University of Tartu and in Industrial Analysis from Claude Bernard University Lyon. Turkina also contributed to projects at Radboud University and Axel'One, integrating chemometrics and spectroscopy for complex analytical challenges. Photo courtesy of Turkina.

Viktoriia Turkina discusses toxicity prediction for unknown LC–HRMS features using machine learning.