Research

My research focuses on algorithms and applications of machine learning, deep learning, and healthcare.

• Machine learning applications: Machine learning and statistical models for electronic health records (EHR) and genomics.
  • Deep learning for biology and medicine: journal
  • Patient classification from patient records: journal
  • Patient classification from online text: conference
  • Unsupervised learning of clinical workflow: conference
• Machine learning, statistics, scalable and distributed optimization algorithms:
  • Efficient and privacy-preserving machine learning (cryptography, distributed and scalable learning, numerical optimization);
  • Quantitative genetics, Biomedical informatics, Computational biology;

Academic Services

I regularly serve as reviewer for top journals and conferences, as well as external/ad-hoc reviewer for some venues (mostly computer science conferences).

• Genetics/Genomics, Computational biology: Genome Research, several Nature journals, Scientific Reports, Infection Genetics and Evolution, Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases (MEEGID), Asia Pacific Bioinformatics Conference (APBC), etc.
• Statistics, Computer science: Statistical Methods in Medical Research, ACM Transactions on Privacy and Security (TOPS; formally TISSEC), Neurocomputing, IEEE International Conference on Intelligence and Security Informatics (ISI), etc.
• Biomedical informatics: JAMIA, AMIA, JMIR, JMIR Medical Informatics, Journal of Methods of Information in Medicine, IEEE Journal of Biomedical and Health Informatics, etc.
• External Reviewer for: PNAS, IEEE International Conference on Data Engineering (ICDE), AAAI Conference on Artificial Intelligence (AAAI), IEEE International Conference on Data Mining (ICDM), IEEE Big Data, etc.