Christina Giannoula is a Tenure-Track Faculty member at the Max Planck Institute for Software Systems (MPI-SWS). She leads the SPIN research group at MPI-SWS. She is actively seeking motivated students and researchers to join her team.

Her 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 resource disaggregation. Her work targets improvements in performance, scalability, programmability, and sustainability.

Before joining MPI-SWS, she 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 my 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. During her Ph.D. studies, she also received a Ph.D. award from the Foundation for Education and European Culture from 2020 to 2021, and a Ph.D. Fellowship from the General Secretariat for Research and Technology (GSRT) and the Hellenic Foundation for Research and Innovation (HFRI) from 2017 to 2020. She holds an M.Eng. equivalent degree from ECE NTUA, where she graduated in the top 2% of her class.