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Personal profile

Research Interests

His research interests include machine learning, natural language processing, time series analysis, integrative genomic analysis and big data analytics, with a focus on medical and clinical applications. He is the Chief AI Scientist at Northwestern University Clinical and Translational Sciences Institute (NUCATS).

Education/Academic qualification

PhD, Massachusetts Institute of Technology

… → 2015

Research interests

  • Autism Spectrum Disorders
  • Bioinformatics
  • Biomedical Ontologies
  • Blood Cancer (leukemia and lymphomas)
  • Computational Biology
  • Critical Care
  • Genomics
  • Medical Informatics

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Grants

  • Research Output

    Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks

    Xu, Z., Chou, J., Zhang, X. S., Luo, Y., Isakova, T., Adekkanattu, P., Ancker, J. S., Jiang, G., Kiefer, R. C., Pacheco, J. A., Rasmussen, L. V., Pathak, J. & Wang, F., Feb 2020, In : Journal of Biomedical Informatics. 102, 103361.

    Research output: Contribution to journalArticle

  • 1 Scopus citations

    Med2Meta: Learning representations of medical concepts with meta-embeddings

    Chowdhury, S., Zhang, C., Yu, P. S. & Luo, Y., 2020, HEALTHINF 2020 - 13th International Conference on Health Informatics, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020. Cabitza, F., Fred, A. & Gamboa, H. (eds.). SciTePress, p. 369-376 8 p. (HEALTHINF 2020 - 13th International Conference on Health Informatics, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Somatic genetic aberrations in benign breast disease and the risk of subsequent breast cancer

    Zeng, Z., Vo, A., Li, X., Shidfar, A., Saldana, P., Blanco, L., Xuei, X., Luo, Y., Khan, S. A. & Clare, S. E., Dec 1 2020, In : npj Breast Cancer. 6, 1, 24.

    Research output: Contribution to journalArticle

    Open Access
  • Supervised subgraph augmented non-negative matrix factorization for interpretable manufacturing time series data analytics

    Sun, H., Jin, R. & Luo, Y., Jan 2 2020, In : IISE Transactions. 52, 1, p. 120-131 12 p.

    Research output: Contribution to journalArticle

  • 1 Scopus citations

    Toward cross-platform electronic health record-driven phenotyping using Clinical Quality Language

    Brandt, P. S., Kiefer, R. C., Pacheco, J. A., Adekkanattu, P., Sholle, E. T., Ahmad, F. S., Xu, J., Xu, Z., Ancker, J. S., Wang, F., Luo, Y., Jiang, G., Pathak, J. & Rasmussen, L. V., 2020, (Accepted/In press) In : Learning Health Systems.

    Research output: Contribution to journalArticle

    Open Access