Hi, I'm Ryan Lehmkuhl!

I'm a recent UC Berkeley EECS graduate interested in using cryptography to build decentralized and privacy-preserving systems.

I'm currently taking a gap year to work for Opaque and will be joining the PDOS and CSS groups at MIT as a PhD candidate advised by Henry Corrigan-Gibbs in Fall 2022.

Outside of work, you will probably find me lost backpacking somewhere in nature, drinking excessive amounts of coffee, cooking, biking, or playing music! I also thoroughly enjoy studying various topics in philosophy, sociology, and psychology.

Github CV LinkedIn


Efficient Private Delegation of zkSNARK Provers.
Alessandro Chiesa, Ryan Lehmkuhl, Pratyush Mishra, Yinuo Zhang.
In submission IEEE S&P 2022.

Muse: Client-Malicious Secure Inference.
Ryan Lehmkuhl, Pratyush Mishra, Akshayaram Srinivasan, Raluca Ada Popa.
USENIX Security 2021. (ePrint, Code)

Delphi: A Cryptographic Inference Service for Neural Networks.
Pratyush Mishra, Ryan Lehmkuhl, Akshayaram Srinivasan, Wenting Zheng, Raluca Ada Popa.
USENIX Security 2020. (ePrint, Code)