Hello.

I'm a part-time doctoral student in the Chandra Family Department of Electrical & Computer Engineering at The University of Texas at Austin, advised by Dr. Lizy John in the Laboratory for Computer Architecture. I started my time at UT across the street in the Department of Computer Science, where I'm still co-supervised by Dr. Calvin Lin in the Speedway Group.

I'm a nontraditional grad student: I began pursuing a Ph.D. in the second half of my thirties with three kids, after spending the decade between my industry job and doctoral study taking the slow route through a research masters degree (completed part-time while also a full-time mom and primary caregiver) followed by university teaching, in between career pauses to be present for my young family. I seem to be taking the slow route to Ph.D. completion, too!

Research Interests

I'm interested in several facets of computer architecture, from scalable techniques for performance evaluation to microarchitectural enhancements for multicore memory systems. I'm also interested in instruction set architectures for modern heterogeneous systems and in exploring problems that sit at the intersection of hardware and software.

Background

I have a B.S. in electrical and computer engineering and engineering and public policy from Carnegie Mellon University and an M.S. in computer science from Texas State University.

I've also been a senior design engineer at ARM Austin (where I designed the unit-level verification environment for the load/store unit and L1 data cache of an out-of-order, cache coherent multicore processor) and a lecturer in both the Department of Computer Science and the Ingram School of Engineering at Texas State University (where I taught computer architecture, digital logic, and CS 2).

As a masters student, I was a research assistant in Dr. Martin Burtscher's Efficient Computing Laboratory (ECL), where I worked on techniques to efficiently accelerate irregular codes on GPUs. I was fortunate to have my M.S. work supported by a 2011 NSF Graduate Research Fellowship.