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

Current projects:

Online algorithms for VM allocation

Power-aware cloud resource management

Areas of interest:

  • Reinforcement learning – algorithm design and applications
  • Cloud and network economics (see this monograph for a summary)
  • Cloud resource management (WAN, cluster scheduling, DaaS)
  • Large-scale optimization for logistics and transportation

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, NeurIPS’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.

Français English