Tjun Hoh

Tjun Hoh is a Lecturer in Data Science at the UCL School of Management. Prior to joining UCL, he was a Lecturer in Mathematics and Statistics at Coventry University, where he also served as a course director. Before that, he was a postdoctoral researcher at the University of Bristol, focusing on spatial data from single-molecule localisation microscopy. He has taught mathematics, statistics, and data science at the University of Bristol and the London School of Economics. He is an alumnus of UCL, having earned his PhD in Statistical Science from the UCL Department of Statistical Science, where his work involved Bayesian inference and model selection for diffusion processes. He is also a Chartered Statistician (CStat) and a Fellow (FHEA) of the Advance HE.

Tjun Yee Hoh is a researcher at University College London with expertise in Statistics, Bayesian inference, Natural language processing, and Generative AI. Their work focuses on advanced statistical methods, particularly Bayesian inference, applied to complex models such as multi-dimensional diffusion processes and stochastic differential equations. Hoh's research also explores the correction of artifacts in imaging techniques like photoactivated localization microscopy. Additionally, they contribute to Natural language processing and Generative AI, emphasizing probabilistic modeling and inference. Their publications highlight the application of Bayesian methods to both theoretical and applied problems in statistics and computational science.