I lead the CORE group in MSR Redmond. Our focus is on designing large-scale optimization solutions for cloud systems and applications.

Current projects:

Optimization services for cloud business apps (e.g., Dynamics’365)
Resource management for cloud systems (cluster scheduling, DaaS, WANs)

Additional areas of interest:

Reinforcement learning – algorithm design and applications.
Cloud and network economics (see this monograph for a summary) .


I completed my Ph.D. at the Technion, and spent a couple of years at MIT as a postdoc associate.

Recent PCs: SPAA’16, EuroSys’17, NETGCOOP’18 (chair), ASPLOS’19 (ERC), ICML’19




I’ve had the privilege to work with excellent students*:

Virajith jalaparti (UIUC), Mikhail Rybalkin (Steklov Mathematical Institute, St. Petersburg), Jonathan Yaniv (Technion), Spandana Raj B (undergrad, IIT Madras), Andrew Newell (Purdue), Ivan Bliznets (Steklov Mathematical Institute, St. Petersburg), Sangeetha Abdu Jyothi (UIUC), Zilong Tan (Duke), Lalith Suresh (TU-Berlin), Konstantina Mellou (MIT), Angela Jiang (CMU), Hongzi Mao (MIT), Luke Marshall (GATech), Timur Tankayev (GATech), Julia Gaudio (MIT)

* I am always looking for interns who like working in the intersection of algorithms, operations research, and computer systems. Feel free to contact me for more details.

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