Board of Members
Meet the experts guiding CredenceX
Our advisory board members bring diverse expertise across AI research, clinical medicine, ethics, governance, law, and responsible technology deployment. Profiles are updated as appointments are confirmed.
Prof. Dr. Ahmed Wasif Reza
Dean of Faculty of Sciences and Engineering
East West University
Dr. Reza specializes in the safe deployment of AI systems in clinical settings, with a focus on uncertainty quantification and human-AI collaboration in diagnostic workflows.
Prof. Dr. Nazmul Siddique
Professor of School of Computing & Intelligent System
Ulster University
Prof. Nazmul Siddique leads research on the governance of AI systems in high-stakes environments, advising government and academic bodies on responsible AI frameworks, bias mitigation, and accountability standards.
Dr. Abhishek Appaji
Senior Research Scientist of Medical Electronics
Maastricht University
Dr. Appaji works on robust machine learning for medical imaging, with emphasis on cross-site generalization, domain adaptation, and evaluation under real-world operational constraints.
Prof. Dr. Elena Marchetti
Professor of Biomedical Informatics
University of Bologna
Prof. Marchetti develops and evaluates clinical decision support systems with a focus on integrating AI into existing clinical workflows while maintaining patient safety and clinician trust.
Dr. James K. Owusu
Associate Professor of Computer Science
University of Ghana
Dr. Owusu investigates AI fairness and equity in healthcare, particularly for underrepresented populations and low-resource clinical environments across sub-Saharan Africa.
Dr. Yuki Tanaka
Senior Researcher, AI Safety
RIKEN Center for Advanced Intelligence Project
Dr. Tanaka works on formal methods for uncertainty quantification and explainability in deep learning models, with applications in medical diagnosis and safety-critical autonomous systems.
Prof. Sarah M. Connolly
Professor of Health Law & Bioethics
Trinity College Dublin
Prof. Connolly advises on the legal and regulatory landscape for AI in healthcare, covering GDPR compliance, liability frameworks, and the ethical governance of AI-assisted clinical tools.