01
Machine Learning
Evaluating Fairness in Cardiovascular Disease Prediction
Biostatistics 212B · Statistical Learning · UCLA
Health Data Scientist
Hi, I'm Thanh! 👋
Statistical Modeling · Machine Learning · Health Research
I use statistics, machine learning, and data visualization to turn complex health data into clear, interpretable insights that support better decision-making.
About
A little bit about me.
I'm Thanh, a health data scientist and researcher with a Master's of Data Science in Health from UCLA Biostatistics.
My work sits at the intersection of statistics, public health, and data science. I enjoy working with real-world health data to understand patterns in outcomes, evaluate disparities, and communicate findings through clear visualizations. My experience includes regression, survival analysis, causal inference, machine learning, geospatial analysis, and interactive dashboard development.
Education
UCLA
M.S. Data Science in Health
Biostatistics · Fielding School of Public Health
✦ $30,000 Graduate Fellowship
2026
B.A. Psychology & Statistics
Computing Specialization · Statistics Minor
✦ Graduated Cum Laude
2022
Statistical Modeling
Regression, survival analysis, causal inference, hypothesis testing, and model interpretation.
Machine Learning
Random forest, XGBoost, classification, prediction, model evaluation, and fairness analysis.
Data Visualization
R Shiny, ggplot2, interactive dashboards, maps, reports, and communicating complex results.
Geospatial Analysis
Spatial data, community-level analysis, mapping, and social determinants of health.
Research & Projects
Quantitative questions,
real health contexts.
A selection of projects spanning machine learning, health disparities, survival analysis, and observational health data science.
02
Health Disparities
The Role of Location in Health Outcomes
Biostatistics 203A · Statistical Computing · UCLA
03
Survival Analysis
Cardiovascular Mortality by Healthy Lifestyle Index
Biostatistics M215 · Survival Analysis · UCLA
04
Survival Analysis
Survival in Head & Neck Cancer
Biostatistics M215 · Survival Analysis · UCLA
05
Observational Health Data
Antidepressant Use & Demographic Factors
Biostatistics 218 · Observational Health Data Science & Informatics · UCLA
More projects
→
Interactive Dashboard
From analysis
to visualizations.
Head & Neck Cancer Survival Explorer
An interactive R Shiny dashboard exploring survival patterns among patients with head and neck squamous cell carcinoma. Users can examine Kaplan-Meier curves, compare patient groups, and explore Cox proportional hazards model results.
Survival by Patient Group
5 Years
Survival probability
Patient groups →
Professional Work
Healthy Places Index
Using data to understand community health.
At the Public Health Alliance of Southern California, I work with large public datasets to understand how community conditions shape health.
My work includes statistical and spatial analyses of public health indicators supporting the Healthy Places Index (HPI) across California and Utah.
I have contributed to HPI score production, technical reports, geographic analyses, and tools designed to help public health practitioners identify communities experiencing greater health and social needs.
Outside of Data
Things I enjoy
outisde of work!
National Parks
I've visited 9 national parks so far! Channel Islands and Death Valley are next up on my list.
Broadway
I have strong opinions about musicals and will happily talk about them for hours. Phantom of the Opera, Moulin Rouge!, Hadestown, and The Lost Boys are some of my favorites.
Connect
Let's connect!
I'm interested in opportunities involving health data science, healthcare analytics, outcomes research, behavioral health, and patient-centered data.