Student

Congratulations to PhD student Dominic Danks whose paper Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis has been accepted for presentation at AISTATS 2022.

Congratulations to PhD student Dominic Danks whose paper BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders. has been accepted for presentation at the International Conference for Machine Learning 2021.

Congratulations to PhD student Woojung Kim whose will presenting his work on “Learning multimorbidity and its temporal dynamics with the Wright-Fisher Indian Buffet Processs” at the EcoStat 2021 and the International Society for Bayesian Analysis World Meeting 2021 conferences.

A new PhD projects is being advertised to join my group at the University of Manchester for the academic year 2021/22. Applications are due by 21 May 2021 for the EPSRC Doctoral Training Programme.

Two new PhD projects are being advertised to join my group at the University of Manchester for the academic year 2021/22. Applications are due by 15 November 2020 for the MRC Doctoral Training Programme.

A new funded PhD opportunity for UK/EU students is available to join my group for the academic year 2020/21: Breaking Free with Artificial Intelligence: using data-driven insights to improve digital health support for substance use disorders

There are two new funded PhD opportunities for UK/EU students available to join my group for the academic year 2020/21: Explainable AI for Multimodal Data Integration in Biomedical Applications This project will seek to develop explainable probabilistic machine learning methods for multimodal data integration for biomedical applications.

Congratulations to Zhiyuan Hu whose paper on the “The Repertoire of Serous Ovarian Cancer Non-genetic Heterogeneity Revealed by Single-Cell Sequencing of Normal Fallopian Tube Epithelial Cells” has been published in Cancer Cell.

Congratulations to Kaspar Martens who has had two papers accepted into AISTATS 2020. Papers to be published soon.