Dr. Newhart’s research focuses on the water-data nexus: applying statistical and machine learning to better understand, improve process monitoring, and optimize control of water and wastewater treatment, reclamation, and reuse systems all scales. She collaborates with utilities, consultants, and non-profits across North America to develop and deploy machine learning models using instrumentation and laboratory data for site-specific monitoring and control challenges. Her experience as an operator, engineer, and data scientist translates to into the classroom by teaching practical design, critical thinking, and use of both traditional and novel data science tools.