劉子毓 Tzu-Yu (Joyce) Liu

Associate Professor, Department of Electrical Engineering, National Taiwan University

Major Research Areas:

Machine Learning, Optimization, Structured Variable Selection, Density Estimation, Functional Data Analysis, Transfer Learning, Multi-task Learning, Data Fusion, Neural Networks, Domain Adaptation, Multiple Instance Learning, Contrastive Learning, Multimodal Learning, Computational Biology, Bioinformatics, Gene Regulation, Heterochromatin Dynamics, Cancer Detection, Cancer Heterogeneity, Multiomics Model

Research Summary:

Joyce Tzu-Yu Liu is a researcher in machine learning and computational biology. Her research includes statistical learning from high dimensional and small sample size problems, optimization, structured variable selection, density estimation, functional data analysis, transfer learning, multi-task learning, data fusion, convolutional neural network and their applications to biomedical data. These research experiences involve analysis of large datasets, e.g., genomic sequencing data, 3D/4D microscopy images, 3D human faces, and time series of electrocardiograms. From a bioinformatics or computational biology point of view, these research activities study gene regulation, including both transcription and translation, heterochromatin dynamics, and automated feature extraction for time series in electrocardiology and volumetric 3D images for cell deformation. In practice, these methods have been successfully applied to biomarker selection, cancer detection, protein synthesis estimation, etc.