Recipient of the Sloan Fellowship in Computer Science, ACM SIGCOMM Rising Star award, ACM-W Rising Star Award, NSF CAREER award, Optica Simmons Memorial Speakership award, best paper award at the Machine Learning Systems (MLSys) conference, as well as the best dataset and best paper awards at the ACM Internet Measurement Conference (IMC). Published numerous academic papers such as 'Nona: Stochastic Congestion-Aware Job Scheduling for Real-Time Inference Queries', 'MLTCP: A Distributed Technique to Achieve Optimal Flow Scheduling For Machine Learning', etc.
Research Experience
Worked at Microsoft Research and Google before joining MIT as an associate professor in the EECS department.
Education
Ph.D. from the University of Toronto.
Background
Research interests include efficient systems for machine learning, large-scale reconfigurable networks, high-performance cloud infrastructure, hardware-software co-design, data center networks, network optimization, and optical networks.