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Lisa Menacher is a PhD student at Linköping University whose research is centered on the application of machine learning techniques to analyze mass-spectrometry data, particularly in forensic science. Her work primarily focuses on liquid chromatography high-resolution mass spectrometry (LC-HRMS), a powerful tool that has notable application areas. Menacher emphasizes the limitations of current preprocessing tools in LC-HRMS, driving her interest in employing machine learning to address these gaps. One of her main goals is to advance methodologies that can aid in postmortem metabolomics within forensic medicine. She collaborates with the Swedish National Board of Forensic Medicine (Rättsmedicinalverket) to develop innovative methods that enhance death investigations and facilitate automated cause-of-death screenings using blood sample analysis.
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