Data Scientist at UCLA Health | Adjunct Instructor at UCLA Extension and University of San Diego | Co-founder of Data Science Dynamics
I build clinical machine learning systems across nephrology, oncology NLP, and urology, and develop open-source tools for reproducible data science.
| Library | Description |
|---|---|
| eda_toolkit | Reproducible EDA framework; docs at datasciencedynamics.com/eda_toolkit_docs |
| model_tuner | Streamlined ML model tuning and cross-validation |
| model_metrics | ROC, DeLong tests, gain/lift, and residual diagnostics |
| EquiBoots | Bootstrapped fairness and equity evaluation |
| kfre | Kidney Failure Risk Equation implementation |
- CircumScore: ML-based surgical outcome prediction tool; paper published in BMC Urology
- JupyterCon 2025: eda_toolkit and EquiBoots (co-presented with Oscar Gil)
- Bio-IT World 2026, Boston
- CHOC Research GoBEYOND 2026: reproducible EDA frameworks poster
- Late-breaking abstract, JASN / Kidney Week 2025
datasciencedynamics.com | LinkedIn | Google Scholar



