A cross-disciplinary study using digital health data may have serious implications for mortality from sleep apnea -- and for insurers seeking to underwrite these risks.
Anthony Woods is lead data scientist for RGA’s Global Research & Data Analytics (GRDA) team, He leads a group of data scientists in applying statistical and machine learning models for RGA and RGA’s clients. He also leads RGA’s data science effort to develop predictive mortality models using prescription drug history.
He joined RGA in 2015, with 30 years of experience in statistical modeling. His career includes serving as an early member of the data mining department of Enterprise Holdings, where his group applied models to fleet planning, rental demand forecasts, marketing and customer service. Woods has also performed operations research for the U.S. Army and taught in the math department of the University of Missouri.
Woods received his Ph.D. in statistics from Purdue University and is a member of the American Statistical Association and the Institute of Mathematical Statistics.