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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


… → 2015

Research interests

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

Fingerprint Dive into the research topics where Yuan Luo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
Factorization Engineering & Materials Science
Intensive care units Engineering & Materials Science
Natural Language Processing Medicine & Life Sciences
Critical Care Medicine & Life Sciences
Electronic Health Records Medicine & Life Sciences
Learning systems Engineering & Materials Science
Unified Medical Language System Medicine & Life Sciences
Acute Kidney Injury Medicine & Life Sciences

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Grants 2015 2020

Research Output 2006 2020

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

Time series

Cancer classification and pathway discovery using non-negative matrix factorization

Zeng, Z., Vo, A. H., Mao, C., Clare, S. E., Khan, S. A. & Luo, Y., Aug 1 2019, In : Journal of Biomedical Informatics. 96, 103247.

Research output: Contribution to journalArticle

Support vector machines

Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms

Zhong, Y., Rasmussen, L., Deng, Y., Pacheco, J., Smith, M. E., Starren, J. B., Wei, W. Q., Speltz, P., Denny, J., Walton, N., Hripcsak, G., Chute, C. G. & Luo, Y., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1143-1146 4 p. 8621240. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

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

Electronic Health Records
Learning systems
3 Citations (Scopus)
Dependency (Psychology)
2 Citations (Scopus)
Open Access
Neural Networks (Computer)
Unified Medical Language System
Natural Language Processing