Predicting Urgent Care Demand Under Uncertainty
Why predicting a single patient count is the wrong objective—and how probabilistic forecasts can support better staffing decisions.
Posts by Category
methods
Medication Regimen Complexity to Predict Patient Outcome
Evaluating medication regimen complexity indices as predictors of clinical outcomes in critically ill patients.
New Methods for the Oldest Time Series of Its Kind
Bayesian state-space models and wavelet analysis for climate signals in a multi-decadal coastal ecosystem series.
Mathematical Models of Microbial Growth
Thermal reaction norms for marine microbes under a NASA Space Grant fellowship.
An Improved Method for Missing Data in Time Series
Alternative covariance specifications in Bayesian dynamic linear models to improve imputation accuracy.
Nonproportional Hazards Models for Patient Outcomes
Survival modeling for COVID-19 patients with acute kidney injury—consulting work on CritCOVIDView.
healthcare
Predicting Urgent Care Demand Under Uncertainty
Why predicting a single patient count is the wrong objective—and how probabilistic forecasts can support better staffing decisions.
From Insight to Action: Building an Enterprise Data Platform for Urgent Care
How a forecasting initiative grew into an enterprise data platform—and made proactive staffing decisions possible across 45 urgent care clinics.
Medication Regimen Complexity to Predict Patient Outcome
Evaluating medication regimen complexity indices as predictors of clinical outcomes in critically ill patients.
Nonproportional Hazards Models for Patient Outcomes
Survival modeling for COVID-19 patients with acute kidney injury—consulting work on CritCOVIDView.
environment
New Methods for the Oldest Time Series of Its Kind
Bayesian state-space models and wavelet analysis for climate signals in a multi-decadal coastal ecosystem series.
Mathematical Models of Microbial Growth
Thermal reaction norms for marine microbes under a NASA Space Grant fellowship.
platforms
From Insight to Action: Building an Enterprise Data Platform for Urgent Care
How a forecasting initiative grew into an enterprise data platform—and made proactive staffing decisions possible across 45 urgent care clinics.
Building A Fab Data Platform
Containerized ML and data pipelines for semiconductor lithography—Fabscape, Docker, and production decision support.
meta
Making a Github-Hosted Website with Jekyll and Ruby
How this site was built with GitHub Pages and Jekyll.
industrial-ai
Building A Fab Data Platform
Containerized ML and data pipelines for semiconductor lithography—Fabscape, Docker, and production decision support.
demos
Infection News Analyst (LLM RAG Capability Demo)
A personal Streamlit experiment exploring LLM RAG for infection news and CDC monitoring—not a production surveillance product.