My research focuses on advancing forensic medicine and toxicology through postmortem metabolomics and machine learning. By analysing the small molecules present in biological samples collected during forensic autopsies, I aim to uncover metabolic patterns that can provide new insights into the circumstances surrounding death.
A central goal of my research is to develop and evaluate approaches that support the investigation of cause of death and the estimation of the postmortem interval (the time elapsed since death). This includes identifying metabolomic signatures associated with specific causes of death, investigating biochemical changes occurring around the time of death, and developing data-driven methods to extract meaningful information from complex biological datasets.
By combining mass spectrometry-based metabolomics with statistical analysis and machine learning, my work seeks to translate molecular measurements into tools that can complement existing forensic investigations. Ultimately, I aim to contribute to more objective, reliable and informative death investigations.
I work primarily at the National Board of Forensic Medicine in Link枚ping, in close collaboration with researchers at Link枚ping University.
