UROP Project
Health Informatics Project in the eHealth Lab
Health Informatics, Data Science, Machine Learning, AI

Research Mentor: Dr. Zhe He, He, His, Him
Department, College, Affiliation: School of Information, Communication and Information
Contact Email: zhe@fsu.edu
Research Assistant Supervisor (if different from mentor): Prof. Balu Bhasuran He, Him, His
Research Assistant Supervisor Email: bb23u@fsu.edu
Faculty Collaborators:
Faculty Collaborators Email:
Department, College, Affiliation: School of Information, Communication and Information
Contact Email: zhe@fsu.edu
Research Assistant Supervisor (if different from mentor): Prof. Balu Bhasuran He, Him, His
Research Assistant Supervisor Email: bb23u@fsu.edu
Faculty Collaborators:
Faculty Collaborators Email:
Looking for Research Assistants: Yes
Number of Research Assistants: 4
Relevant Majors: Public Health, Computer Science, Information Technology, Premed, Biology, Biochemistry, Psychology
Project Location: On FSU Main Campus
Research Assistant Transportation Required: Yes Remote or In-person: Partially Remote
Approximate Weekly Hours: 5, During business hours
Roundtable Times and Zoom Link:
Number of Research Assistants: 4
Relevant Majors: Public Health, Computer Science, Information Technology, Premed, Biology, Biochemistry, Psychology
Project Location: On FSU Main Campus
Research Assistant Transportation Required: Yes Remote or In-person: Partially Remote
Approximate Weekly Hours: 5, During business hours
Roundtable Times and Zoom Link:
- Day: Tuesday, September 2
Start Time: 12:00
End Time: 12:30
Zoom Link: https://fsu.zoom.us/j/98641012433
Project Description
The research in the eHealth Lab directed by Dr. Zhe He is meticulously designed to foster health education, empower patient self-management, enhance the efficiency of healthcare delivery, and elevate the standards of clinical research by leveraging the power of big health data. Employing user-centered and participatory approaches, we are dedicated to developing AI-powered health delivery platforms and tools that are as innovative as they are inclusive. Our machine learning and natural language processing expertise enables us to extract actionable insights from complex healthcare systems, thereby informing medical decision-making and exploring the nuances of clinical trial participation. Research areas include: Our specialized research areas span across Biomedical and Health Informatics, Clinical Research Informatics, Consumer Health Informatics, as well as Knowledge Representation and Biomedical Ontologies. We are also deeply engaged in advancing the fields of Biomedical Natural Language Processing, Machine Learning, and Health Data Analytics with a multidisciplinary approach.Research Tasks: Assist with on-going biomedical and health informatics projects: (1) literature review; (2) data collection; (3) annotation; (4) preparing manuscripts for academic journals and conferences.
Skills that research assistant(s) may need: Python (recommended)
MS Excel (required)
R (recommended)
MS Word (required)
MS PowerPoint (required)
Interview (required)