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Dr Sulaf Assi is an associate Professor (Reader) in Intelligent Forensic Data Analytics at Liverpool John Moores University, leading multidisciplinary research at the intersection of AI, spectroscopy, pharmaceutical science, forensic science and digital health.
Her research focuses on developing intelligent, practical approaches for medicine authentication, disease detection, patient safety, forensic toxicology and portable analytical technologies, combining spectroscopy, chemometrics and machine learning.
She has 100+ peer-reviewed publications, 2,100+ citations and an h-index of 25, alongside sustained external grant activity, PhD supervision, international research collaborations and research leadership.
She holds editorial roles with Elsevier, PLOS and Springer Nature/BMC, including Associate Editor, Academic Editor and Editorial Board Member. She also contributes internationally through keynote and invited presentations, conference leadership, external PhD examining and collaborative research programmes.
Current research includes AI-enabled diagnostics, spectroscopy-based disease detection, medicine quality and authentication, digital health and intelligent pharmaceutical and forensic analysis.
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