Oregon State University Distinguished Professor Emeritus Tom Dietterich is one of the founders of the field of Machine Learning. He is currently developing new anomaly detection algorithms and applying them to the problem of sensor network failure diagnosis and data cleaning. Under funding from NSF, he leads the SENSOR-DX team, which is developing a new data quality control architecture that combines non-parametric anomaly detection with probabilistic modeling to create a new, highly-accurate approach to identifying failed sensors and flagging bad data values. Dietterich is interested in applying AI technology to difficult problems in sustainable development and ecosystem management. He is a Fellow of the Association for Computing Machinery, the American Association for the Advancement of Science, and the Association for the Advancement of Artificial Intelligence.