Thomas Roh is a Data Scientist for the HDR Data Science team. He works to uncover hidden insights within data and quantify it to be used for informed decision making. With the help of such tools as regression, simulation, optimization, machine learning, and other forecasting methods he accurately assesses the relationships, connections, and disconnections within data. Thomas has a Bachelor of Science in Industrial Engineering from the University of Nebraska and a Master of Science in Industrial Engineering (Health Systems) from Georgia Tech. Prior to joining HDR, he worked for the Mayo Clinic, Becton-Dickinson and Emory Healthcare.

My main areas of expertise are in R, Python, SQL, Shiny, data science, and operations research, and I am always open to getting involved in potential projects and collaborations. You can contact me by email.