Built HTA model for value of a new digital health technology, identifying $1B+ in savings from reductions in prescription drug abuse
Designed ML methods to identify healthcare fraud for the Society of Actuaries. Matched physician-expert assessment, with demonstrated savings of 6 months per claim (2M total claims reviewed for fraud, waste, and abuse) and up to $160M in total claims review costs.
Collected global data and built econometric models to identify cost control benchmarks for insurance companies, reducing forecast errors and improving actuarial pricing
“Rob consistently delivers high-quality, strategic work while building strong relationships. His adaptability and professionalism elevate every project.”
“World-class hiring Jedi — off the charts! Rob mentors early career professionals with the same excellence he brings to tough analytic problems.”
“Rob brings creative research ideas and helps others do better. His investment in people is as impressive as his strategic thinking.”
“Rob produces high-impact work fast. His health economics briefings, talent-building, and collaborative mindset set him apart.”
