Joshua Owotogbe, MSc
Joshua Owotogbe, MSc
PhD candidate
- Research profile: AI Robustness Auditing.
- Research expertise: Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Data Analytics
Biography
Joshua Owotogbe is a PhD candidate at Tilburg University and the Jheronimus Academy of Data Science (JADS), collaborating with Deloitte to enhance AI robustness through rigorous audits. His research focuses on machine learning, deep learning, natural language processing, computer vision, and data analytics, all geared toward creating trustworthy AI systems. Joshua’s primary goal is to develop auditing methodologies that improve AI reliability and ensure real-world applications are both ethical and resilient. By bridging the gap between theoretical research and practical deployment, he aims to foster secure and inclusive AI solutions. He welcomes collaborations and discussions to tackle the critical challenges in AI auditing and system reliabilty.
Relevant academic links
Research Projects
JADS also participates in several (international) projects, which contribute to grand societal challenges like health, food security, smart transport and secure societies. Together with companies, government, NGO’s and other knowledge institutions, JADS works on solutions by using data.