Dr. Diyuan Lu

Building/Room: 58b


Diyuan Lu is an electrical engineer by training and obtained her PhD in computer science at the Frankfurt Institute for Advanced Studies (FIAS), Germany. During her PhD, she focused on applying modern machine learning (ML) methods, especially deep learning (DL) to EEG data for the early diagnosis of epilepsy during the latent epileptogenesis period and brain tumor detection with magnetic resonance spectroscopy (MRS) data. 

Her research interest is to apply ML/DL techniques to pharmacogenomics data for cancer subtyping, treatment outcome prediction, and interplay between genetic and drug features. Furthermore, she is interested in how we can improve clinical diagnosis and data analysis with these techniques

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