Working with humans poses significant challenges to acquiring robust and complete data, but also remarkable opportunity, as I learn in today's episode with Professor Manish Desai of Stanford University. We discuss inferring causality from longitudinal data, clinical trial and observational study considerations, and the intersection of statistics and medicine at large.

Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary