I am a PhD candidate working in systems and networking at University of Massachusetts, Amherst. My advisor is Prof. Don Towsley. Lately, my research interests have been focused on quantum entanglement switches and quantum communication in general. I received my Master of Science in 2017 from UMass Amherst. I interned at Inria in Sophia Antipolis, France in Summer 2017. I received my Bachelor of Science in Electrical Engineering and Computer Sciences from the University of California at Berkeley. Previously, I have worked at the Argonne National Lab and the Computation Institute at the University of Chicago.
As an undergraduate, I worked with Prof. Vern Paxon on detecting traceroute traffic in tcpdump trace files using Bro, a network intrusion detection system. I interned at Cisco Systems twice during my undergraduate.
I am currently on the academic job market! Here is my Research Statement.
Here is my latest CV.
Jan 2020 Our short course proposal for the Brazilian Symposium on Computer Networks and Distributed Systems (SBRC) has been accepted! We will teach a short course on quantum communications and related topics in Rio de Janeiro in May.
Spring 2020 I am co-organizing a seminar on Topics in Distributed Quantum Information Systems with Don Towsley.
1/9/20-1/10/20 I gave a talk at TU Delft during my visit with Prof. Stephanie Wehner's group.
6/19/19 I am very excited about attending Rising Stars 2019 October 29-November 1 at UIUC!
9/5/19 I gave a talk at UConn, CSE Colloquium, hosted by Prof. Bing Wang, on Sept. 5.
3/26/19 I gave a talk at CS Theory Seminar, led by Arya Mazumdar, at UMass Amherst.
Publications and Tech Reports
On the Capacity Region of Bipartite and Tripartite Entanglement Switching and Key Distribution (Extended abstract, accepted as an oral presentation)
On the Stochastic Analysis of a Quantum Entanglement Switch (Workshop version)
On the Stochastic Analysis of a Quantum Entanglement Switch
On the Capacity Region of Bipartite and Tripartite Entanglement Switching
The Role of Network Topology for Distributed Machine Learning
Towards Stability Analysis of Data Transport Mechanisms: a Fluid Model and an Application
Experiments and Analyses of Data Transfers over Wide-Area Dedicated Connections
TCP Throughput Profiles Using Measurements Over Dedicated Connections
Models of TCP in High-BDP Environments and Their Experimental Validation
High-Performance Data Flows Using Analytical Models and Measurements
Sustained Wide-Area TCP Memory Transfers over Dedicated Connections
An Elegant Sufficiency: Load-Aware Differentiated Scheduling of Data Transfers
Modeling and Optimizing Large-Scale Wide-Area Data Transfers
Characterizing Throughput Bottlenecks for Secure GridFTP Transfers
Last modified: Tue Feb 10 14:39 EDT 2020