His research interests are data mining and artificial intelligence for real-world healthcare data, especially deep learning for temporal medical data–such as temporal events, time series (e.g. longitudinal data, electronic health records, claims data), and physiological signals (e.g. electrocardiogram, electroencephalogram, polysomnogram, heart rates). He serves as a program committee member or reviewer for international conferences including KDD, ICLR, NeurIPS, ICML, AAAI and IJCAI. He also led a team that won the first place of the 18th PhysioNet/Computing in Cardiology Challenge.
We are recruiting self-motivated Ph.D. and interns who have a strong passion for health data science with coding skills. If you are interested, please send email with your CV.
