Shenson Joseph is an accomplished AI researcher, quantum computing expert, and data science leader, known for his pioneering contributions to machine learning, explainable AI, and AI-powered anomaly detection systems. With over a decade of experience in the tech industry, Shenson has held key roles at Nokia and currently serves as a Lead Data Scientist at JPMorgan Chase, where he leads innovation in fraud detection, predictive analytics, and large-scale AI infrastructure.
He holds dual master’s degrees in Data Science and Electrical & Computer Engineering, and is currently pursuing a PhD in Artificial Intelligence and Quantum Computing at the University of North Dakota, with research focused on quantum machine learning algorithms for high-performance anomaly detection and security intelligence.
Shenson has authored numerous research papers and books on ethical and explainable AI, generative models, and the integration of quantum computing into modern AI systems. He actively contributes to the academic and professional AI community as a Fellow of BCS, Senior Member of IEEE, and a member of ACM, AAAI, and IET. In recognition of his contributions, he serves on editorial boards, frequently judges international research competitions, and supports emerging AI startups as an advisory board member at Photon-IV.
As a Gartner Software Engineering Ambassador, Shenson Joseph continues to drive thought leadership and cutting-edge research in AI-driven automation, quantum-enhanced learning, and scalable data engineering, shaping the future of technology across industries.