Xiaoyu聽Zhang
Marie-Curie Early Stage Research Fellow at Imperial College London
London, England, United Kingdom
Summary
馃懁
Senior馃帗
Top SchoolXiaoyu Zhang is a Marie-Curie Early Stage Research Fellow at Imperial College London with a decade of experience applying machine learning to medical AI and bioinformatics problems. His PhD-focused research in the AiPBAND project centers on developing computational methods for brain cancer diagnostics, blending algorithm design with translational biomedical goals. Previously he built novel co-evolution detection software for proteins and RNAs, developed time-series Hi-C analysis and metagenomics models at BGI, and implemented large-scale graph algorithms during international research placements. Comfortable moving between theory and applied pipelines, he brings a track record of inventing algorithms that detect subtle biological signals and making them usable in real research settings. Based in London, he combines deep academic training with hands-on engineering to accelerate data-driven insights in oncology and genomics.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computing Research, Doctor of Philosophy - PhD, Computing Research at Imperial College London
English, Chinese
Github Skills (10)
multi-task-learning10
multiclass-classification10
cancer-genomics9
generative-adversarial-network9
classification7
deep-learning7
data-analysis5
gbm1
microservices1
analytical1
Programming languages (3)
Github contributions (5)
zhangxiaoyu11/OmiVAE
Aug 2019 - Jun 2021
End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.
Contributions:2 releases, 9 commits, 8 pushes in 1 year 10 months
deep-learningmulticlass-classification
zhangxiaoyu11/XOmiVAE
May 2021 - Jan 2022
An interpretable deep learning model for cancer classification using high-dimensional omics data
Contributions:15 commits, 15 pushes in 8 months
classificationdeep-learning
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