About Isaiah Ocansey
Dr. Isaiah Ocansey is a Postdoctoral Fellow at the O’Donnell Data Science and Research Computing Institute. His current research projects include privacy-preserving AI and trustworthy AI, with a focus on improving the privacy, reliability, and robustness of AI systems.
Prior to joining the O’Donnell Institute, Dr. Ocansey conducted research in machine learning, anomaly detection, and privacy-preserving AI. His prior research includes LogTinyLLM, which explores compact language models for log anomaly detection, and DP-FlogTinyLLM, which integrates differential privacy and federated learning for privacy-preserving anomaly detection.
Dr. Ocansey earned his Ph.D. in Data Science from the University of Texas at El Paso. He also holds M.S. degrees in Mathematics of Finance and Economics from the University of Silesia in Poland and Engineering Mathematics from the University of L’Aquila in Italy, and a B.S. degree in Financial Mathematics from the University for Development Studies in Ghana.
Google Scholar Profile