Scholar
Aashaka Shah
Google Scholar ID: hsxzylEAAAAJ
Microsoft Research
Citations & Impact
Citations
783
H-index
9
i10-index
9
Publications
13
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches (NSDI 2023); Memory Optimization for Deep Networks (ICLR 2021, Spotlight Presentation); RainBlock: Faster Transaction Processing in Public Blockchains (Usenix ATC 2021); Analyzing the Impact of GDPR on Storage Systems (HotStorage 2019).
Research Experience
- Senior Researcher at Microsoft Research; Summer internship at Meta AI Systems HW; Published papers in multiple international conferences.
Education
- Ph.D. from the Computer Science department at the University of Texas at Austin (advised by Vijay Chidambaram; worked closely with Philipp Krähenbühl); Bachelor's degree in Computer Science and Engineering from the Indian Institute of Technology (IIT) Roorkee.
Background
- Senior Researcher at Microsoft Research. Broadly interested in the intersection of systems and machine learning, particularly in building efficient high-performance ML Systems, with a current focus on I/O optimizations like those concerning network and memory. Also interested in using insights obtained from machine learning to build performative storage and cloud systems.
Miscellany
- Email: aashakashah@microsoft.com
Co-authors