Research focuses on serverless computing and efficient AI systems. Topics include: designing operating systems for serverless computing, optimizing AI serving latency and throughput per Watt, customizing model inference for different users and request types, and building distributed storage services for managing AI training data.
Research Experience
Worked as a Research Scientist at Google Brain for one year before joining ETH.
Education
Graduated from the Engineering Science program at the University of Toronto in 2013, earning a Bachelor of Applied Science and Engineering. Obtained an M.S. in Electrical Engineering from Stanford University in 2015. Completed Ph.D. in Electrical Engineering at Stanford University, advised by Professor Christos Kozyrakis. Dissertation focused on the design and implementation of fast, elastic storage for cloud computing. PhD supported by the Microsoft Research PhD Fellowship and Stanford Graduate Fellowship.
Background
Assistant Professor in the Department of Computer Science at ETH Zurich. Member of the ETH Systems Group, leading the Efficient Architectures and Systems Lab (EASL). Research interests span operating systems, computer architecture, and their intersection with machine learning. Focuses on improving performance and resource efficiency of cloud computing while making it easier for users to deploy and manage applications.