Faculty & Staff Directory

Main Directory

Jake Luo, PhD

Assistant Professor


Postdoctoral Research Scientist Biomedical Informatics Columbia University New York 2012
Ph D Computer Science Belfast, UK Queen’s University 2009
MS Software Engineering Xidian University China 2004
BS Electronic Engineering Xidian University China 2002

Speaker Topics

  • Health Informatics
  • Clinical Research Informatics
  • Text Mining and Information Extraction
  • Natural Language Processing
  • Knowledge Representation and Management
  • Big Data and Predictive Analysis

Interests & Expertise

Jake Luo’s primary research interest lies in data-driven predictive analysis using machine-learning algorithms, such as data mining, natural language processing and knowledge representation and modelling.

Currently, he is especially interested in investigating how these computing technologies can improve health care by providing intelligent decision support for clinicians and researchers.

Selected Publications

Tang, T., Zhao, S., & Luo, J. (2018, June). A new support vector selection strategy and a local-global regularization method for improving online SVM learning. Electronics Letters, 53(12), 735-736.
Zhao, Y., Fesharaki, N. J., Li, X., Patrick, T. B., & Luo, J. (2018, April (2nd Quarter/Spring)). Semantic-Enhanced Query Expansion System for Retrieving Medical Image Notes. Journal of Medical Systems, 42(6), 105.
Tang, T., Chen, S., Zhao, M., Huang, W., & Luo, J. (2018, January (1st Quarter/Winter)). Very large-scale data classification based on K-means clustering and multi-kernel SVM. Soft Computing Journal, 1-9.
Luo, J., Chen, W., Wu, M., & Weng, C. (2017, December). Systematic data ingratiation of clinical trial recruitment locations for geographic-based query and visualization. International Journal of Medical Informatics, 108, 85-91.
Luo, J., Wu, M., & Chen, W. (2017). Geographical Distribution and Trends of Clinical Trial Recruitment Sites in Developing and Developed Countries. Journal of Health Informatics in Developing Countries, 11(1), 18.
Luo, J., Wu, M., Gopukumar, D., & Zhao, Y. (2016, January (1st Quarter/Winter)). Big Data Application in Biomedical Research and Health Care: A Literature Review. Biomedical Informatics Insights, 8, BII.S31559.
Luo, J., & Cisler, R. A. (2016, October (4th Quarter/Autumn)). Discovering Outliers of Potential Drug Toxicities Using a Large-scale Data-driven Approach. Cancer Informatics, 211.
Luo, J., Eldredge, C., Cho, C., & Cisler, R. A. (2016, October (4th Quarter/Autumn)). Population Analysis of Adverse Events in Different Age Groups Using Big Clinical Trials Data. JMIR Medical Informatics, 4(4), e30.
Luo, J., Zhang, G. Q., Wentz, S., Cui, L., & Xu, R. (2015). SimQ: Real-time retrieval of similar consumer health questions. Journal of Medical Internet Research, 17(2), e43.
Luo, Z., Wu, M., & Zhao, Y. (2015). Big Data Applications in Biomedical Informatics, (In Chinese). Journal of Medical Informatics, 36(5), 2-9.
Luo, J., Pelfrey, C., & Zhang, G. Q. (2014). Visualizing and evaluating the growth of multi-institutional collaboration based on research network analysis. [Outstanding CRI Paper Award Nominated 2014], 67-91.
Sahoo, S. S., Tao, S., Parchman, A., Luo, J., Cui, L., Mergler, P., Lanese, R., Barnholtz-Sloan, J. S., Meropol, N. J., & Zhang, G. Q. (2014). Trial prospector: Matching patients with cancer research studies using an automated and scalable approach. Journal of Cancer Informatics, 13, 157-166.
Nambisan, P., Luo, J., & Kapoor, A. (2014). Social Media and Big Data: Can tweet moods predict illness and hospital visits in a region?.
Cui, L., Xu, R., Luo, J., Wentz, S., Scarberry, K., & Zhang, G. Q. (2014). Multi-topic assignment for exploratory navigation of consumer health information in NetWellness using formal concept analysis. MC Journal of Medical Informatics and Decision Making, 14(1), 63-79.
Luo, J., Carolyn, A., Pelfrey, C., & Zhang, G. (2014). RMS: A platform for managing multi-disciplinary and multi-institutional research project collaboration. BMC Journal of Medical Informatics and Decision Making, 14(106).

Honors & Awards

Outstanding Clinical Research Informatics Paper Award Nominated (2014) AMIA.
Outstanding Reviewer Award (2013) MedInfo 2013.
Top hottest 25 paper (2012) Journal of Biomedical Informatics.
Best student paper finalist (2011) AMIA Annual Symposium.
Distinguished paper award (2011) AMIA CRI summit.

Professional Memberships

  • Member of the American Medical Informatics Association (AMIA), 2009-present
  • Member of Association for Advancement of Artificial Intelligence (AAAI), 2006-2010
  • Member of Institute of Electrical and Electronics Engineers (IEEE), 2008-2009

Courses Taught

  • Fundamental programming practice class (Java)
  • Advanced programming class