Anthonette Ochieze-Adanyin is a Lead Data Scientist at Ofqual and a published researcher with peer-reviewed work across IEEE and ACM conferences, including presentations at international venues in Spain and Japan. Her work sits at the intersection of privacy-preserving machine learning, bias detection, and ethical AI in high-stakes environments with published results including a 99.2% reduction in sensitive data exposure in production IoT sensor systems. She holds an MSc in Artificial Intelligence from the University of Wolverhampton, awarded with a competitive Office for Students Scholarship, organises PyData Wolverhampton, and mentors across Coding Black Females, BCS, and Reed Women in Technology. She is one of a small number of practitioners working simultaneously across original research, production deployment, and active community leadership in underrepresented spaces in AI.
