Summary
Joseph Imperial is a doctoral researcher at the University of Bath’s UKRI CDT in Accountable, Responsible, and Transparent AI, specialising in natural language generation, model evaluation and alignment, and AI safety. With nine years of research experience spanning academia and applied projects, he has led NLP initiatives for education and public-facing tools—most notably a readability index for Filipino literature—and collaborates internationally on legal alignment of autonomous agents. Currently on study leave from the National University Philippines’ HLT Lab, he blends interdisciplinary perspectives on standards, regulation, and engineering to make NLG systems more accountable. Joseph’s work bridges rigorous evaluation methods with real-world impact in education and disaster risk management, reflecting both technical depth and a commitment to socially responsible AI.
9 years of coding experience
3 years of employment as a software developer
Integrated PhD Program in Accountable Responsible and Transparent Artificial Intelligence (ART-AI) Artificial Intelligence, Integrated PhD Program in Accountable Responsible and Transparent Artificial Intelligence (ART-AI) Artificial Intelligence at University of Bath
Master of Science - MS Computer Science, Master of Science - MS Computer Science at De La Salle University
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Bicol University