PhD Student, Computer Science, UC San Diego

jvorobyeva@ucsd.edu | dblp

I’m currently a first-year PhD student at UC San Diego, co-advised by Dean Tullsen and Pat Pannuto. My areas of research include microarchitectural security, embedded systems, and low-power sensors.

Before this I’ve worked at Grist, an open-source spreadsheet company. I spent a couple years doing research at Sandia National Labs, where I worked on write-optimized data structures for high-throughput data indexing as well as on virtual memory systems for a cpu architecture simulator. I’ve also spent some time teaching computer science at Stuyvesant High School in NYC.

My CS interests cover a lot of disparate areas: I’ve done work involving computer architecture, high-performance data structures, scripting and automation, web development, programming languages, and graphical/geometric computation. A particular hobby of mine is tinkering with esolangs, embedded systems, and retrocomputing.

Publications

Janet Vorobyeva, Daniel R. Delayo, Michael A. Bender, Martin Farach-Colton, Prashant Pandey, Cynthia A. Phillips, Shikha Singh, Eric D. Thomas, Thomas M. Kroeger
Cluster Computing, 2022
Michael A. Bender, Abhishek Bhattacharjee, Alex Conway, Martin Farach-Colton, Rob Johnson, Sudarsun Kannan, William Kuszmaul, Nirjhar Mukherjee, Donald E. Porter, Guido Tagliavini, Janet Vorobyeva, Evan West
SPAA, 2021