Bio/CV:
Chris is interested in RCTs, targeted machine learning, and causal inference applied to precision medicine, particularly trauma. He works with Alan Hubbard on the varImpact package, health prediction for trauma patients (e.g. traumativ brain injury), and analysis of biometric waveform data. He also co-maintains the SuperLEarner R package, employed high performance computing (Savio sluster, Amazon EC2), and is a D-Lab consultant & instructor.
Role:
