Alyssa Schubert

Schmidt AI in Science Fellow

Michigan Institute for Data Science

Alyssa is interested in drinking water research at the intersection of science and policy, including equitable access to quality drinking water and science communication. While at MIDAS, she will use sensors and machine learning techniques to generate data-driven models designed to advance real-time decision-making in drinking water and further the protection of public health. In her spare time, Alyssa enjoys reading, weightlifting, playing tennis, and hiking with her dog. 

  • Ph.D., Environmental Engineering, University of Michigan
  • AI Mentor: Bryan Goldsmith, Chemical Engineering, College of Engineering
  • Science Mentor: Mark Burns, Chemical Engineering, College of Engineering
  • Research Theme: AI for sensor data analysis for water quality monitoring