I do research across the stack on systems with unconventional processors, from FPGAs to DNA. Currently I'm working on developing new computational primitives for MISL's DNA-based digital storage project.
A Content-Addressable DNA Database With Learned Sequence Encodings
Kendall Stewart, Yuan-Jyue Chen, David Ward, Xiaomeng Liu, Georg Seelig, Karin Strauss, and Luis Ceze.
DNA24, October 2018. (Slides)
Best student paper award.
Random Access in Large-Scale DNA Data Storage
L. Organick, S. Dumas Ang, Y.J. Chen, R. Lopez, S. Yekhanin, K. Makarychev, M.Z. Racz, G. Kamath, P. Gopalan, B. Nguyen, C. Takahashi, S. Newman, H.Y. Parker, C. Rashtchian, K. Stewart, G. Gupta, R. Carlson, J. Mulligan, D. Carmean, G. Seelig, L. Ceze, K. Strauss.
Nature Biotechnology, February 2018.
- End-to-End Demonstration of an Approximate Computing System
Kendall Stewart, Thierry Moreau, Luis Ceze.
C-FAR Semi-Annual Review, May 2016.
Student Demo Awards: First Runner-Up