US EPA – Digital Transformation through Data Science

Abstract: Data science is key to addressing national challenges with greater agility. At EPA, our prime challenge is to provide the best value to American citizens in an ever-changing world. We address this challenge through digital and analytical services which enable greater responsiveness and increase predictive capabilities. I will discuss how this digital transformation has become the driver behind a better understanding of the complex interdependencies between our air, water, land and public health. By embracing emerging technology strategies such as microservices-based architecture and user-centered design, we can better capture the relationships and detect anomalies in the terabytes of data that we intake each year. The digital transformation has shifted EPA beyond business as usual, which is critical for the health of our citizens and of our environment.

Bio: Robin A Thottungal is the Environmental Protection Agency's first Chief Data Scientist. A full-throttle approach has paved the way for Robin to advance data-driven decision making across the agency. He empowers scientists, policy makers and managers to conduct advanced analyses and create compelling data visualizations that enable forward-thinking environmental management. Robin honed his ability to transform organizational cultures to better leverage data and technology as a strategic advisor at Deloitte Consulting. Additionally, he has served leadership roles with American Academy of Sciences Hellman Fellowship in Science and Technology Policy and the Institute of Electric and Electronics Engineers. He is passionate about advancing innovation for the benefit of the American people and the environment.