Jake Luo

Jake Luo
Assistant Professor
(414) 229-7333
(414) 229-2619
Northwest Quadrant B 6469

Health Informatics & Administration
Research Faculty

Learn more about Dr. Luo’s research

Education

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

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). Big Data Application in Biomedical Research and Health Care: A Literature Review. Biomedical Informatics Insights, 2016(8), 1-10.
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. Summit on Clinical Research Informatics, 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.
Luo, J., Apperson, C., Pelfrey, C., & Zhang, G. Q. (2014). A platform for managing multi-disciplinary and multi-institutional research project collaboration. MC Journal of Medical Informatics and Decision Making, 14, 106.
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.
Wu, M., Luo, J., & Weng, C. (2013). Discussion and research on personalized medicine. Journal of Medical Informatics, 34(20), 2-7.
Luo, J., Zhang, G. Q., & Rong, X. (2013). Mining Patterns of Adverse Events Using Aggregated Clinical Trial Results. AMIA Joint Submits to Translational Science, 2013, 112-116.
Luo, J., Miotto, R., & Weng, C. (2013). A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteria. Journal of Biomedical Informatics, 46(1), 33-39.
Weng, C., Wu, X., Luo, J., Boland, M. R., Theodoratos, D., & Johnson, S. B. (2011). EliXR: An approach to eligibility criteria extraction and representation. Journal of the American Medical Informatics Association (JAMIA).
Luo, J., Johnson, S. B., Lai, A. M., & Weng, C. (2011). Extracting temporal constraints from clinical research eligibility criteria using conditional random fields. American Medical Informatics Association Annual Symposium (AMIA), 2011, 843-852.

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 (co-author) (2011) AMIA CRI summit.
School travel scholarship (2008) Queen’s University Belfast.
Sir Thomas Dixon Travel Scholarship (2007) Queen’s University Belfast.
First class scholarship (2002) Xidian University.

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