Portrait of Jake Luo

Jake Luo, PhD

  • Associate Professor, Health Care Informatics Graduate Program Director, Health Informatics & Administration


Postdoctoral Scientist Biomedical Informatics Columbia University New York
Ph D Computer Science Belfast, UK Queen's University
MS Software Engineering Xidian University China
BS Electronic Engineering Xidian University China

Speaker Topics

  • Health Big Data and Predictive Analysis
  • Natural Language Processing
  • Health Informatics and Management
  • Text Mining and Information Extraction
  • Artificial Intelligence and machine learning

Interests & Expertise

Jake Luo’s research interest lies in data-driven predictive analysis using machine learning-based algorithms and technologies, such as data mining, natural language processing and knowledge representation and modelling. He is interested in investigating how these computing technologies can be used to improve health care by providing intelligent decision support for clinicians, medical researchers, patients, and policymakers.

Luo’s active research programs involve developing innovative heath data science technologies for knowledge discovery, adapting machine learning algorithms to enhance clinical data processing, implementing collaborative team science initiatives to improve health services and research, and creating intelligent clinical informatics tools to support evidence-based decision making.

Selected Publications

Alanazi, E. M., Alanzi, T. M., Wu, M., & Luo, J. (2022). Patients’ unmet information needs and gaps of obstetric ultrasound exam: A qualitative content analysis of social media platforms. Informatics in Medicine Unlocked, 80.
Poetker, D. M., Friedland, D. R., Adams, J. A., Tong, L., Osinski, K., & Luo, J. (2021). Socioeconomic Determinants of Tertiary Rhinology Care Utilization. OTO open, 5(2), 2473974X211009830.
Alarifi, M., Patrick, T. B., Jabour, A., Wu, M., & Luo, J. (2021). Understanding patient needs and gaps in radiology reports through online discussion forum analysis. Insights into imaging, 12(1), 1-9.
Kiplagat, A. B., Kako, P., Mkandawire-Valhmu, L., Chelagat, D., Gwon, S. H., Luo, J., & Dixon, M. V. (2021). The HIV transmission risk factors and opportunities for use of mHealth in HIV prevention among emerging adult population in the Sub-Saharan Africa context: a review of the literature. International Journal of Health Promotion and Education, 1-15.
Luo, J., Tong, L., Crotty, B. H., Somai, M., Taylor, B., Osinski, K., & George, B. (2021). Telemedicine Adoption during the COVID-19 Pandemic: Gaps and Inequalities. Applied Clinical Informatics, 12(04), 836-844.
Anisuzzaman, D., Barzekar, H., Tong, L., Luo, J., & YU, Z. (2021). A deep learning study on osteosarcoma detection from histological images. Biomedical Signal Processing and Control, 69, 102931.
Berg, C. A., Carvan, M. J., Hesselbach, R., Luo, J., Petering, D. H., Pickart, M., Tomasiewicz, H., Weber, D. N., Shukla, R., & Goldberg, B. (2021). Meeting the COVID Challenge to a Research-intensive Pre-college Science Education Program. Journal of STEM Outreach, 4(2), 1-11.
Alarifi, M., Patrick, T. B., Jabour, A., Wu, M., & Luo, J. (2021). Designing a Consumer-Friendly Radiology Report using a Patient-Centered Approach. Journal of Digital Imaging, 1-12.
Lu, Q., Zhou, S., Tao, F., Luo, J., & Wang, Z. (2020). Enhancing Gene Expression Programming based on Space Partition and Jump for Symbolic Regression. Information Sciences, 547, 553-567.
Alarifi, M., Patrick, T., Jabour, A., Wu, M., & Luo, J. (2020). Full Radiology Report through Patient Web Portal: A Literature Review. International Journal of Environmental Research and Public Health.
Wu, M., & Luo, J. (2019, November). Wearable Technology Applications in Healthcare: A Literature Review. Online Journal of Nursing Informatics, 23(3).
Zolnoori, M., Fung, K. W., Patrick, T. B., Fontelo, P., Kharrazi, H., Faiola, A., Shirley Wu, Y. S., Eldredge, C. E., Luo, J., Conway, M., Zhu, J., Park, S. K., Xu, K., & Moayyed, H. (2019, March). The PsyTAR dataset: From patients generated narratives to a corpus of adverse drug events and effectiveness of psychiatric medications. Data in Brief, 103838.
Tong, L., Cisler, R. A., , M. C., & Luo, J. (2019, July (3rd Quarter/Summer)). Machine learning-based modeling of big clinical data for adverse outcome prediction: A case study of death events. Proceedings of IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), 269-274.
Benson, L. C., Cobb, S. C., Hyngstrom, A. S., Keenan, K. G., Luo, J., & O’Connor, K. M. (2019, April (2nd Quarter/Spring)). A Principal Components Analysis Approach to Quantifying Foot Clearance and Foot Clearance Variability. Journal of Applied Biomechanics, 35(2), 116-122.

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.
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

  • Health Big Data Processing
  • Introduction to Health Care Informatics
  • Biomedical Informatics Seminar
  • Fundamental Programming
  • Advanced Programming

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