Christina Giannoula joins MPI-SWS as tenure-track faculty

Christina Giannoula will be joining the tenure-track faculty at our institute starting January 2026. She will lead the SPIN research group, and is actively seeking motivated students and researchers to join her team.
Christina's research interests lie at the intersection of computer architecture, computer systems, high-performance computing, and sustainable computing. Her current research focuses on the hardware/software co-design of emerging applications, particularly AI/ML, with modern computing systems. She designs solutions across the entire system stack,
...Christina Giannoula will be joining the tenure-track faculty at our institute starting January 2026. She will lead the SPIN research group, and is actively seeking motivated students and researchers to join her team.
Christina's research interests lie at the intersection of computer architecture, computer systems, high-performance computing, and sustainable computing. Her current research focuses on the hardware/software co-design of emerging applications, particularly AI/ML, with modern computing systems. She designs solutions across the entire system stack, from software down to hardware—including algorithms, compilers, runtime systems, programming frameworks, and hardware engines—leveraging cutting-edge technologies such as processing-in-memory and memory disaggregation. Her work targets improvements in performance, scalability, programmability, and sustainability.
Prior to joining MPI-SWS, Christina was a Postdoctoral Researcher at the University of Toronto, where she received several research distinctions, including Postdoctoral Research Awards from the Vector Institute for Artificial Intelligence. She was selected as a 2024 MLSys Rising Star and 2024 EECS Rising Star. She received her Ph.D. from the School of Electrical and Computer Engineering (ECE) at the National Technical University of Athens (NTUA) in Greece, where she was a member of the Computing Systems Laboratory. Her Ph.D. thesis received the 2022 Iakovos Gurounian Award for the Ph.D. thesis with the highest industrial impact.