Bin Huang, PhD

I’m a biostatistician and researcher focused on patient-centered comparative effectiveness research. I apply and develop principled and advanced causal inference methodology centered around Patient-Centered Adaptive Treatment Strategies (PCATS). I aim to find better treatment and preventive approaches by learning from existing data. Our PCATS lab has been improving treatment strategies for patients with chronic and prolonged conditions, for whom treatment strategies need to be adaptively managed. We have also been working on validating and improving data analytical methodologies to understand the effectiveness of PCATS by utilizing existing data.

My career journey started as a biostatistician participating in research programs at Cincinnati Children’s. From there, culture influenced me to pursue excellence at Cincinnati Children’s and the passion for improving health outcomes and providing equitable healthcare with those with whom I collaborate. I’m driven and passionate about discovering what works and doesn’t work for patients by providing robust and reliable evidence to inform better approaches to improve health outcomes and reduce health disparity in children. This has been the driving force behind the evolution of my research program.

With colleagues and team members, we have contributed to the methodological literature by improving the robust Bayesian Gaussian Process and Bayesian Additive Regression Tree for causal inference to handle time-varying adaptive treatment strategies, missing data and heterogeneous treatment effects. With the PCATS team, we have publicly made advanced Bayesian causal inference methods available and provided an application program interface (API) callable from R and Python.

With clinician-researchers, we have advanced the field by providing comparative effectiveness evidence in treating children with newly diagnosed juvenile idiopathic arthritis (JIA), in caring for children in need of heart transplantation, in helping young athletes recovering after anterior cruciate ligament (ACL) reconstructive surgery, in understanding mechanisms underlying health inequality, and in advancing equitable healthcare by providing novel intervention programs to those in needs.

I was honored to have authored a Wiley Top Cited Article (2023) in Pediatric Transplantation and to be named Top Reviewer for the Journal of Hospital Medicine (2023). I’m also an elected member (2016) of the International Statistics Institute (ISI). I have been a researcher for more than 30 years and began working at Cincinnati Children’s in 1999. I’m passionate about fostering the next generation of data scientists and interdisciplinary researchers.