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Career

· PhD Candidate, Computer Science, University of California, Berkeley2024–2026
· PhD Student, University of Illinois Urbana-Champaign2020–2024
· B.S. in Computer Science, Harvey Mudd College2016–2020

Publications (11)

Opening Pandora’s Box: A Systematic Study of New Ways Microarchitecture Can Leak Private Data
International Symposium on Computer Architecture · 2021
51
cited
Machine Learning Techniques for AUV Side-Scan Sonar Data Feature Extraction as Applied to Intelligent Search for Underwater Archaeological Sites
International Symposium on Field and Service Robotics · 2019
33
cited
TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators
Micro · 2023
24
cited
FuseMax: Leveraging Extended Einsums to Optimize Attention Accelerator Design
Micro · 2024
9
cited
From TeAAL to FuseMax: Separation of Concerns for Attention Accelerator Design
IEEE Micro · 2025
RTeAAL Sim: Using Tensor Algebra to Represent and Accelerate RTL Simulation (Extended Version)
2026
TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators (Abstract)
HOPC@SPAA · 2024
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Nandeeka Nayak | Researcher Profile | Sotabase | Sotabase