Ryan Maas

Ryan Maas serves as an Assistant Teaching Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. His academic role centers on teaching and research within the domains of Human-Centered Computing and Software & Hardware Systems, with specific expertise in Cloud Computing, Computing Education Research, and Data Management. He is actively involved in the educational mission of the school and contributes to the advancement of database technologies.

Dr. Maas completed his Master's degree at the University of Washington under the supervision of Magdalena Balazinska. His thesis research focused on scaling linear algebra algorithms to operate efficiently on distributed database systems, a project supported by an NSF IGERT fellowship.

His research interests encompass a broad spectrum of computing education and database systems. He investigates methods to enhance cloud computing infrastructure and data management practices, with particular attention to pedagogical approaches in computer science education. This work bridges theoretical computer science with practical educational applications.

Among his professional recognitions, Dr. Maas was awarded an NSF IGERT fellowship during his graduate studies, which supported his interdisciplinary research in database systems and distributed computing.

While specific details about his current advisees and active research grants are not publicly detailed in the provided information, his background suggests a strong commitment to mentoring students in database technologies and computing education. His involvement with the Database Group at the Allen School provides a collaborative environment for research and development in data-intensive systems.