Roel Dobbe is a PhD Candidate in the area of Control, Intelligent Systems & Energy in the Department of Electrical Engineering & Computer Sciences at the University of California, Berkeley.
Roel’s research addresses the development, analysis, integration and governance of AI and other data-driven systems. His work combines optimization, machine learning and control theory to enable monitoring and control of safety-critical systems, including energy & power systems and cancer diagnosis and treatment. In addition to research, Roel has experience in industry and public institutions, where he has served as a management consultant for AT Kearney, a data scientist for C3 IoT, and a researcher for the National ThinkTank in The Netherlands. His diverse background led him to examine the ways in which values and stakeholder perspectives are represented in the process of designing and deploying AI and algorithmic decision-making and control systems. Roel is passionate about developing practices to help engineers and computer scientists engage more closely both with impacted communities and scholars in the social sciences, and to better contend with serious questions of ethics and governance. Roel has published his work in various journals and conferences, including Automatica, the IEEE Conference on Decision and Control, the IEEE Power & Energy Society General Meeting, IEEE/ACM Transactions on Computational Biology and Bioinformatics and NIPS. He has received various honors, including the Dutch Huygens Scholarship, a 2016 Siebel Energy Institute Grant, the 2017 IEEE Power & Energy Society Conference Best of Best Papers Prize, and the 2018 CITRIS Tech for Social Good Award.