Daniel Lee

In this discussion, Daniel Lee shares his wealth of experience in numeric computation and sports analytics. He dives into advanced statistical models for oncology and their application in basketball and football. Daniel highlights his journey from pharma models to Zellus Analytics, while exploring the complexities of Bayesian statistics. He also talks about the latest developments in Stan and PyMC, offering insights on their impact in analytics. Additionally, he emphasizes the importance of data-driven decision-making, touching on social equity in sports analytics.

Daniel Lee, an expert in Bayesian statistics, discusses the challenges in accurately depicting situations based on multiple data pieces. He explores identifying hidden objects, applying vision stats, building complex models in Bayesian statistics, and struggles in choosing priors.