Contact information
Colleges
Ye Wei
BSc PhD
Postdoctoral Researcher
About
I am a postdoctoral researcher in the Davies and Hughes groups, working at the intersection of computational modelling and genome biology. A key question driving my research is what determines the formation of physical interactions between cis-regulatory elements, and whether these interactions are predictive of - or causally linked to - gene expression outcomes. To address this, I develop deep learning models that learn from base-pair resolution chromatin contact data generated by Micro Capture-C.
Before joining Oxford, I completed my PhD in computer science, where I worked on deep learning, spatiotemporal modeling, and representation learning across several scientific domains. These experiences gave me a broad computational toolkit that I now apply to open questions in genome biology. I am particularly drawn to building interpretable models that go beyond prediction to offer mechanistic insight into genome function.
Recent publications
Mapping chromatin structure at base-pair resolution unveils a unified model of cis-regulatory element interactions.
Journal article
Li H. et al, (2025), Cell, 188, 7175 - 7193.e19
Class activation map guided level sets for weakly supervised semantic segmentation
Journal article
Wang Y. et al, (2025), Pattern Recognition, 165
Hafnium oxide-based nonvolatile ferroelectric memcapacitor array for high energy-efficiency neuromorphic computing
Journal article
Wang X. et al, (2025), Nano Energy, 140
Memory-augmented Conditional Neural Process model for traffic prediction
Journal article
Wei Y. et al, (2024), Knowledge Based Systems, 304
Memory-facilitated Joint-space Shift Adaptation in Traffic Forecasting
Conference paper
Wei Y. et al, (2024), 2024 International Joint Conference on Neural Networks (IJCNN), 1 - 8