Roberto Puch-Solis

Dr. Roberto Puch-Solis is a Principal Investigator at the Leverhulme Research Centre for Forensic Science, affiliated with the University of Dundee. His work focuses on probabilistic decision support systems, forensic statistics, and computational methods in forensic analysis.

• Expertise: Forensic genetics, DNA profiling, gas chromatography-mass spectrometry (GCMS), convolutional neural networks (CNNs), and Y-STR mutation modeling.
• Key Contributions: Development of open-access software (MUCalc), segmentation datasets for firearm analysis, and ground truth datasets for drug profiling.
• Collaborations: Active in interdisciplinary networks, with partnerships in digital forensics, analytical chemistry, and machine learning.

Research Trends: Recent work integrates deep learning for forensic image analysis (e.g., shoeprint matching, cartridge case segmentation) and statistical frameworks for DNA evidence interpretation. Applications span firearms identification, drug quantification, and crime scene reconstruction.

Activities: Delivered invited talks on probabilistic systems, served as an external examiner, and participated in neural network training workshops.