Nathan Beckmann

Blending theory and practice to improve the efficiency and effectiveness of computing systems, Nathan Beckmann is an Associate Professor in the Computer Science and Electrical and Computer Engineering (ECE) Departments at Carnegie Mellon University. With a robust academic foundation, he earned his PhD in 2015 and his MS in 2010 from the Massachusetts Institute of Technology (MIT), following his dual Bachelor of Science degrees in Computer Science and Mathematics of Computation from the University of California, Los Angeles (UCLA) in 2008. Professor Beckmann's research interests span a wide array of topics within the realm of computing. His work primarily focuses on computer architecture, data-intensive and cloud computing, mobile and pervasive computing, operating systems, and performance modeling and analysis. Through his research, he aims to address the challenges posed by the ever-increasing demands on computing systems, striving to enhance their performance and adaptability. Throughout his career, Beckmann has been recognized for his contributions to the field with several prestigious awards. He is a recipient of multiple Best Paper awards, which highlight the impact and quality of his research. Additionally, he has been honored with the National Science Foundation (NSF) CAREER Award, a testament to his potential as a leading researcher in his field. His innovative work has also earned him a Google Research Scholar Award and a Sloan Research Fellowship, further underscoring his influence and leadership in computer science research. At Carnegie Mellon University, Professor Beckmann is dedicated to mentoring the next generation of computer scientists and engineers. He is committed to fostering an environment of collaboration and innovation, encouraging students to explore the intersections of theory and practical application in their work. Through his teaching and research, Beckmann continues to contribute to the advancement of technology and its role in shaping the future of computing.