Gabriel Fara-on
Biostatistics · Health Equity Research · Data Science
About Education Experience Projects Publications Skills Contact

I'm a data systems analyst at UCSF's Ta Park Lab, where I design and manage research databases for the CARE Registry — a health research registry with over 15,000 AANHPI participants. I focus on developing data-driven methods to identify and mitigate health disparities for underrepresented populations.

Incoming MS Biostatistics student at Harvard T.H. Chan School of Public Health · [email protected]

Location
Novato, CA → Boston, MA
Research Focus
Biostatistics, Health Equity, AANHPI Aging & Dementia
Methods
Python, R, SQL, REDCap, Statistical Modeling
Education
UC San Diego (BS Data Science, BA Math-Econ)

Education

Harvard T.H. Chan School of Public Health
Master of Science in Biostatistics
Incoming · 2026–2028
University of California, San Diego
B.S. Mathematics–Economics
Double Major
  • Relevant coursework: Econometrics, Real Analysis, Linear Algebra, Data Analysis & Inference, Data Management, Recommender Systems & Data Mining, Machine Learning, Data Visualization

Research & Professional Experience

UCSF — Ta Park Lab
Data Systems Analyst
November 2023 – Present
  • Design and manage research databases in REDCap for multiple projects, including the CARE Registry with over 15,000 unique AANHPI participants
  • Conduct statistical analyses in R and Python on participant demographics and referral outcome data for academic manuscripts, conference presentations, and grant proposals
  • Develop Python automation scripts for data cleaning — identifying duplicate/spam enrollments and compiling referral, retention, and outreach outcome data — improving data integrity and reducing manual processing time
UCSD — Teaching and Learning Commons
Economics Supplemental Instruction Leader
May 2021 – March 2022
  • Created interactive weekly tutoring sessions for large undergraduate economics classes
  • Clarified complex topics and answered questions on course content

Projects

Data Science Capstone: Deep-Q SEIR Simulator

Implemented a Deep-Q Network in Python (Scikit-learn, PyTorch) to optimize parameter tuning for a COVID-19 SEIR simulator. Built the SEIR model as training data for the reinforcement learning agent.

Python PyTorch Reinforcement Learning Epidemiology

Honors Econometrics: Veterans Wage Gap

Investigated ethnic disparities in the veteran wage gap by fitting multiple linear regression models in R with interaction terms and control variables. Presented findings to a faculty panel.

R Econometrics Regression

Publications & Presentations

Journal Articles
Hoffmann, T. J., Tsoh, J. Y., Meyer, O. L., Tzuang, M., Nam, B., Fara-on, G., Huang, D., Kanaya, A. M., Gallagher-Thompson, D., Vuong, Q., Shin, H. W., Tofaeono, V., Grill, J. D., & Park, V. T. (2025).
Understanding participants' attitudes toward research in the CARE Registry.
Alzheimer's & Dementia, 21(6), e70372.
doi:10.1002/alz.70372
Grill, J. D., Tsoh, J. Y., Nam, B., Tzuang, M., Huang, D., Fara-on, G., Johnson, C. B., Hoffmann, T. J., Meyer, O. L., Mukherjea, A., Nishita, C., Gallagher-Thompson, D., Hinton, L., Tofaeono, V., Balaz, P., Tavana, J. P., Tiet, Q. Q., Javier, J. R., Vuong, Q., & Park, V. T. (2025).
Increasing representation of AANHPI communities in aging, dementia, and caregiving research: An update from the CARE Registry.
Alzheimer's & Dementia, 21(4), e70144.
doi:10.1002/alz.70144
Conference Presentations
Park, V. T., Grill, J. D., Nam, B., Tzuang, M., Fara-on, G., Huang, D., Gaggar, N., Meyer, O. L., Mukherjea, A., Nishita, C., Hoffmann, T., Tofaeono, V., Vuong, Q., Gallagher-Thompson, D., Hinton, L., & Tsoh, J. Y. (2025). Amplifying AANHPI voices through research participation: Updates from the CARE Registry. APHA 2025 Annual Meeting, Washington, D.C.
Huang, D., Tsoh, J. Y., Grill, J. D., Tzuang, M., Nam, B., Fara-on, G., et al. (2025). Community outreach engagement events to recruit AANHPI attendees into the CARE Registry. UCSF CTSI, SFBayCRN and IMPACT Annual Conference, San Francisco, CA.
Yum, S., Ching, A., Tzuang, M., Nam, B., Nguyen, L., Jiang, Y., Fara-on, G., et al. (2025). ARISE pilot study: Cultural and linguistic considerations in outreach. CTSI SFBayCRN and IMPACT Annual Conference, San Francisco, CA.
Park, V. T., Tsoh, J. Y., Nam, B., Tzuang, M., Huang, D., Fara-on, G., et al. (2025). CARE Registry: An update. Alzheimer's Association International Conference, Toronto, Canada.
Fara-on, G., & Huang, D. (2024). CARE: An overview of the AANHPI health research registry. ARCH Rising Stars Colloquium, UCSF, San Francisco, CA.
Jiang, Y., Meyer, O., Fara-on, G., Tzuang, M., Nam, B., et al. (2024). ARISE pilot study. International Neuropsychological Society, 53rd Annual Meeting, New Orleans, LA.
Yum, S., Jiang, Y., Fara-on, G., Huang, D., et al. (2024). ARISE pilot study: Rationale, design, and cohort description. UCSF Dementia Day 2024, San Francisco, CA.
Fara-on, G., Huang, D., Nam, B., Tzuang, M., Tsoh, J. Y., Grill, J. D., & Park, V. T. (2024). Enhancing participation in research for AANHPI populations: Update on the CARE Registry. BayCRN/IMPACT Annual Meeting, San Francisco, CA.

Skills

Programming Languages
Python R Java SQL
Data Science & ML
Scikit-learn Pandas NumPy Matplotlib D3.js PyTorch
Clinical Research Tools
REDCap Data Management PII Redaction IRB Protocols
Productivity
MS Office Suite Google Suite Adobe Suite
Languages
English (Native) Filipino (Fluent)

Contact

✉ [email protected] ⎔ GitHub in LinkedIn