Woojung Kim
I am a fourth year PhD student in Warwick Maths and Stats Centres of Doctoral Training(CDT) under the joint supervision of Dr. Paul JenkinsLink opens in a new window and Dr. Christopher YauLink opens in a new window. My research interests lie in Bayesian inference for stochastic diffusion processes and their applications for machine learning.
I received my bachelor's degree in Business and Technology Management from KAIST(Korea Advanced Institute of Science and Technology) and my master's in Economics and Social Sciences(ESS) at Bocconi.
In 2022, I was based at the Alan Turing Institute as an Enrichment student.
Publications:
; Proceedings of the 2nd Machine Learning for Health symposium, PMLR 193:103-119
Talks:
12th Nov 2021: Age-dependent multimorbidity trajectory models with the WF-IBP, Warwick Data Science Group
28th June 2021: Learning multimorbidity and its temporal dynamics with the WF-IBP, 2021 ISBA World Meeting
26th June 2021: Learning multimorbidity and its temporal dynamics with the WF-IBP, 2021 EcoStat
22th June 2021: Learning multimorbidity and its temporal dynamics with the WF-IBP, YRM seminar
28th Nov 2022: Feature Allocation Approach for Multimorbidity Trajectory Modelling, ML4H
25th May 2023: Multimodal Multimorbidity Variational Autoencoder, Turing AI Fellowship Event
