Machine Learning for Meaningful Lives

Joyce Tzu-Yu Liu 劉子毓

Joyce is an Associate Professor and Yushan Young Fellow at the Electrical Engineering Department and Graduate Institute of Biomedical Electronics and Bioinformatics at National Taiwan University (NTU). In addition, she is affiliated with Master's Program in Smart Medicine and Health Informatics, TIGP Program on Bioinformatics, Global Undergraduate Program in Semiconductors, Data Science Degree Program and Graduate School of Advanced Technology. Prior to her position at NTU, she was the Director of Machine Learning Science at Freenome, with multiple years of industry experiences in the Bay Area from research to product development for building blood-based cancer screening tests. She was a Simons Postdoctoral Fellow at the Departments of Mathematics and Biology at the University of Pennsylvania and at the Electrical Engineering and Computer Sciences (EECS) department at the University of California, Berkeley. Joyce received her B.S. from the National Taiwan University (2007) and her Ph.D. from the University of Michigan, Ann Arbor (2013), both in Electrical Engineering. 

She 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, neural network and their applications to biomedical data. These research experiences involve analysis of large datasets, e.g., genomic sequencing data, proteomics data, 3D/4D microscopy images, 3D human faces, and time series of electrocardiograms and vital signs.