About
I’m a grad student who wandered into biostatistics from the world of financial mathematics — and honestly, I think it was the best detour I ever took.
These days I spend my time writing Stan models, debugging Shiny apps, and trying to understand why brains and viruses are so complicated.
My undergrad was all about quantitative thinking — derivatives pricing, risk models, stochastic calculus. It taught me to love abstraction. But something felt missing.
A course on statistical inference clicked something: these tools could answer questions about people, not just markets. I started looking for problems with real stakes.
I work at the intersection of Bayesian methods, EEG neuroscience, and infectious disease modeling. The problems are hard. The data is messy. I wouldn’t have it any other way.
Whether it’s a new modeling framework or a new programming language, I always find it easier to just build something and work backwards from the errors.
A result you can’t explain is only half a result. Building dashboards and visualizations is my way of making sure the work actually reaches the people who need it.
I’m actively exploring positions in data science, biostatistics, and research analytics — anywhere I can keep doing work that matters and keep learning.
| Programming | Python (MNE, data processing, feature extraction), R (Shiny, flexdashboard, statistical modeling), SQL, SAS, MATLAB (EEGLAB) |
| Statistical Methods | Bayesian hierarchical modeling (Stan), regression modeling, hypothesis testing, correlation analysis |
| Data Science & ML | Feature engineering (EEG biomarkers), signal processing (EEG pipelines), data integration across heterogeneous sources |
| Data Visualization | ggplot2, plotly, Shiny dashboards, interactive exploratory analysis |
| Research & Data Engineering | Literature-based data extraction, YAML schema design, LLM-assisted data structuring and validation |
| Tools & Platforms | GitHub, VS Code, RStudio, Stan (rstan), LaTeX |
I’m always happy to chat about research, data science, career opportunities, or interesting problems you’re working on.