Anneli Kruve

Anneli Kruve is a Professor at Stockholm University, affiliated with the Department of Chemistry since 2019. She focuses on mass spectrometry research, particularly non-targeted analysis and ion mobility separation for structural characterization. Her work bridges modeling, machine learning, and analytical chemistry to address environmental and metabolomics challenges.

• PhD, University of Tartu (2011)
• Postdoctoral Fellow, Technion, Israel
• Humboldt Fellow, Freie Universität Berlin (2017–2018)
• Supervised doctoral students at University of Tartu

Research Interests: Her group develops semi-quantitative non-targeted analysis workflows using LC-MS and machine learning. Projects span environmental contaminant quantification, toxicity prediction in complex mixtures, sustainable pesticide detection, and AI-driven chemical screening.

Awards:

• 2018 Top 40 under 40 Power List, Analytical Scientist

Collaborations: Leads projects like MS2Tox (deep learning for endocrine disruptor prediction), RapMixTox (risk assessment), and self-learning AI for recycled materials toxicity screening. Maintains Kruve Lab, specializing in ESI understanding and data-driven analytical methods.