Presenter
Marion Sudvarg
Biography
Dr. Sudvarg is a Postdoctoral Research Associate in the Department of Physics at Washington University in St. Louis under the supervision of James Buckley, having recently completed his PhD in computer science at Washington University in St. Louis, advised by Christopher Gill. He also received bachelor’s degrees in math and physics, and a master’s degree in computer science with an emphasis on data mining and machine learning from Wash U.
His research interests are in developing robust, adaptable, and secure real-time computing systems. He is the software lead for the ADAPT collaboration, developing real-time algorithms and systems to enable prompt localization and multi-messenger follow-up observations of astrophysics transients. Dr. Sudvarg additionally enjoys teaching, and he has taught Wash U’s advanced undergraduate Operating Systems Organization and graduate-level Advanced Operating Systems courses. He led a significant restructuring of content for both courses, and developed the majority of material and assignments now used in Advanced Operating Systems.
His research interests are in developing robust, adaptable, and secure real-time computing systems. He is the software lead for the ADAPT collaboration, developing real-time algorithms and systems to enable prompt localization and multi-messenger follow-up observations of astrophysics transients. Dr. Sudvarg additionally enjoys teaching, and he has taught Wash U’s advanced undergraduate Operating Systems Organization and graduate-level Advanced Operating Systems courses. He led a significant restructuring of content for both courses, and developed the majority of material and assignments now used in Advanced Operating Systems.
Presentations
Workshop
Artificial Intelligence/Machine Learning
W
