Hi, I'm Sam! Welcome to my page. I work in the intersection of statistics and medicine. Some interests are listed below. Also, feel free to check out my blog!
Medical decision making / decision theory / reinforcement learning
- Relative sparsity for medical decision problems (paper), (video)
- Inference for relative sparsity (preprint)
- How to use probability to describe medical decisions (essay)
- The roles assigned by decision analysis (essay)
- Decision analysis and the real world (essay)
- The kindness of decision analysis (essay)
- Decision analysis and malpractice (essay)
Environmental health / inverse reinforcement learning
- Optimality-based reward learning with applications to toxicology (preprint)
Prediction
Radiation dose monitoring / quality control / outlier detection
- Radiation Exposure Extraction Engine (paper)
Diagnosis / Covid-19 / large language models
- ChatGPT and post-test probability (preprint)
- On the post-test probability of covid-19 (app), (forum discussion)
A full list of my publications can be found here.
Teaching
On statistics, data science, machine learning, and society