I help pharmaceutical, biotech, and medtech companies turn complex data into defensible regulatory and strategic decisions through causal inference and real-world evidence (RWE).

A lifelong fascination with understanding the world through mathematical models and data led me to biostatistics—and to a clear mission: helping organizations use rigorous methods to achieve strategic goals.

This philosophy shapes everything I build. I’m the author of Causal Inference in Statistics, created a beginner-friendly course that emphasizes statistical thinking over cookbook recipes, and built a free platform of statistical tools now used by thousands of researchers worldwide.

I’ve found the most effective approach combines hands-on consulting with targeted training, ensuring teams don’t just get the right answer, but understand the reasoning behind it.

My work helps organizations ask better questions of their data, reach more robust conclusions, and confidently defend results in front of regulators, payers, and consumers. Whether it’s study design, regulatory evidence, or navigating ambiguity in clinical research, I bridge technical rigor with practical judgment.