I obtained my PhD from MIT in June 2017, where I worked with Prof. Eytan Modiano in the Laboratory for Information and Decision Systems. I interned with Microsoft Research and Microsoft Azure, Redmond, WA, in 2014, and in the Mathematics of Networks and the Fixed Networks group at Nokia Bell Labs, Murray Hill, NJ in 2016. I am currently working as a Senior Engineer in Qualcomm Research at San Diego, CA.

My research pushes the boundaries of Network Control Theory for next-generation highly efficient and ultra-low-latency computer networks. Under the hood of the Twenty-first century Information Revolution rests a family of well-knit algorithms that drive the global information superhighway, i.e., the Internet.  Along with the classic single-source single-destination unicast traffic, an increasing variety of applications make use of more advanced form of flows including Broadcast, Multicast, and Anycast. However, designing an efficient policy that supports generalized traffic, including unicast, broadcast, multicast and anycast has long been an open problem. In my PhD thesis, I have designed a new class of throughput-optimal routing and scheduling algorithms for wireless networks, named Universal Max Weight (UMW), that supports generalized traffic. UMW is the first known throughput-optimal routing and scheduling policy of such versatility.