Lee leads the Data Science team at Zilliant, where he is responsible for the development and implementation of Zilliant’s data science methodologies. For over 15 years, Lee has helped companies drive digital transformations by leveraging Big Data, Machine Learning, and Optimization to extract the most value out of their data assets. He holds an MS and BS in Operations Research from Columbia University and an MS in Computational Finance from Carnegie Mellon University. Outside of office, Lee can be found either with his 3 boys or rowing on Austin’s iconic Lady Bird Lake.