My research on medication choices and the effect on post-operative mechanical ventilation revealed that meticulous post-operatively pain and sedation management allows for less opioid exposure and early liberation from ventilator support after cardiac surgery, even for the youngest patients. My more recent publications include a novel approach to analyze high fidelity hemodynamic data including millions of beat-to-beat systolic blood pressure measurements surrounding recorded medication administration in our PCICU. The development of algorithms around therapies and interventions in the ICU using expert systems allows the analysis of time-series data. This provides insight to clinicians who can be prepared to intervene and act accordingly, improving outcomes for these critically ill children. This work in big data sets has led to my pursuit of board certification in Clinical Informatics and membership with the Alliance of AI in Medicine and Pediatric Centers of Artificial Intelligence in Medicine (PCAIM).