Happy Buzaaba is a postdoctoral research associate at the Princeton Center for Digital Humanities, and his work focuses on developing technologies for low resource African languages. Before that, he was postdoctoral researcher at the RIKEN Centre for Advanced Intelligence Project, in the Approximate Bayesian Inference Team where he spent time investigating the use of natural-gradient Bayesian methods to improve uncertainty estimation in pre-trained languages models.

He completed his Ph.D. in the Knowledge & Data Engineering Lab at the University of Tsukuba in Japan. During the Ph.D, he was advised by Prof. Toshiyuki Amagasa on making use of machine learning and computational linguistics to reason about language and knowledge. 

Fall ' 24 Course - FRS 159 Teaching Computers to Understand African Languages