Applied product data scientist · Experimentation, metrics, and causal inference

I’m an applied product data scientist who loves helping technical teams make better decisions faster. My work combines metric development, experiment design and analysis, and causal inference with a practical focus on delivering useful solutions. I’m especially drawn to deeply technical problems in areas such as streaming video, biotech, and logistics.

Most recently, I was a Senior Data Scientist at Netflix, partnering with engineers on streaming quality, experimentation, and launch decisions. Previously, I was a Staff Data Scientist at Shopify, where I led the design and analysis of the one-page checkout experiment, and at Zymergen, where I built statistical tools for industrial biotech. Before moving into industry, I was a mathematics professor and department chair. That background continues to shape how I approach difficult problems and communicate complex ideas.