Bianca Schroeder

Bianca Schroeder is a full professor and Canada Research Chair in Data Centre Technologies at the University of Toronto, affiliated with the Computer Science Department. Her research focuses on computer systems, particularly large-scale systems, storage systems, and data centers, with an emphasis on system reliability, resource allocation, and scheduling. She is also a member of the computer systems and networks group and serves as associate department chair in the Computer and Mathematical Sciences Department at the University of Toronto Scarborough. Schroeder's work integrates techniques from data mining, statistics, and machine learning to analyze and improve computer systems, often in collaboration with industry partners such as Microsoft, Google, and NetApp.

Bianca Schroeder is a Professor of Computer Science at the University of Toronto, known for her research in Computer Systems. Her work focuses on understanding and mitigating failures in high-performance computing systems, including disk and DRAM errors, data corruption, and flash reliability. Schroeder's research also explores system design implications of hardware failures, such as cosmic rays and latent sector errors. Additionally, she investigates performance optimization in web servers, data center temperature management, and scheduling mechanisms for supercomputing servers. Her studies often involve large-scale field data and benchmarking to provide insights into real-world system behavior and reliability.