I am currently on the faculty job market. Here is a recent copy of my CV (updated 11-15-2022).
My research interests include parallel computing, cache-efficient algorithms, and performance engineering.
I graduated with my Ph.D. in Computer Science from the Supertech group at MIT CSAIL in 2022, where I was fortunate to be advised by Prof. Charles E. Leiserson. My PhD thesis was on “The Locality-First Strategy for Developing Efficient Multicore Algorithms.”
During my Ph.D., I was lucky to spend time at NVIDIA Research with Dr. Michael Pellauer, Microsoft Research Cambridge with Dr. Nuno Lopes, ENS Lyon with the ROMA group, and Sandia National Laboratories with Dr. Cynthia Phillips.
I am always looking for new collaborators. Please don’t hesistate to reach out if you’d like to hear more about my work, start a new collaboration, or spend a summer with me at Berkeley Lab! The best way to contact me is via email.
[Oct. ‘22] Our paper “Optimizing Search Layouts in Packed Memory Arrays” has been accepted to ALENEX ‘23.
[Aug. ‘22] I am attending the Argonne Training Program on Extreme-Scale Computing from July 31 - August 12th 2022.
[Jun. ‘22] Our paper “When Are Cache-Oblivious Algorithms Cache Adaptive? A Case Study of Matrix Multiplication and Sorting” has been accepted to ESA ‘22.
[Apr. ‘22] I am honored to be selected as the 2022 Grace Hopper Fellow in Computing Sciences at Berkeley Lab!
[Feb. ‘22] I completed my Ph.D. and am moving to Berkeley Lab as a Postdoctoral Scholar!