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
- 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.
Tang, T., Chen, S., Zhao, M., Huang, W., & Luo, J. (In Press). Very large-scale data classification based on K-means clustering and multi-kernel SVM. Soft Computing Journal
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
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., 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
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
Luo, Z., Wu, M., & Zhao, Y. (2015). Big Data Applications in Biomedical Informatics, (In Chinese). Journal of Medical Informatics, 36(5), 2-9.
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
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
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.
- 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
- Fundamental programming practice class (Java)
- Advanced programming class