His research focuses on the intersection of artificial intelligence, computational chemistry, and forensic toxicology, particularly the prediction and risk assessment of new psychoactive substances (NPS), AI-driven mass spectrometry, molecular structure elucidation, and intelligent drug monitoring. His work aims to develop AI-based computational methods for the discovery, identification, and risk assessment of emerging drugs of abuse.