Bhavan Vasu is a Ph.D. candidate at Oregon State University working on making machine learning models interpretable. Bhavan has worked on ML interpretability for organizations such as NASA/CalTech Jet Propulsion Laboratory, Kitware, Defense Advanced Research Projects Agency (DARPA), and Air Force Research Laboratory(AFRL). He received his B.S. degree in Electronics and Communications Engineering from Visvesvaraya Technological University, India, in 2015, and his M.S. degree in Computer Engineering from the Rochester Institute of Technology, New York, in 2018. In 2019, he joined Kitware Inc’s Computer Vision Team, where he worked as a Research and Development Engineer on topics such as explainable AI, domain adaptation, human-factor analysis, context-based image retrieval, image generation, and remote sensing. He currently serves as the Workflow Chair of the Association for the Advancement of Artificial Intelligence.