About Me
I am a Ph.D. student in the Yale Applied Cryptography Lab, working with Ben Fisch. My current research focuses on recursive zero-knowledge proofs, which have powerful applications in decentralized systems and machine learning.
I received a B.S. and M.S in Computer Science from Stanford University. I worked with Fei-Fei Li and Serena Yeung in the Stanford Vision and Learning Lab.
At Pinterest, I have led a variety of large-scale machine learning projects and published research on representation learning, object detection, and recommender systems.
I was the co-founder and CTO of Reveal, a venture-backed startup that developed one of the first social networking apps with cryptocurrency incentive mechanisms.
Selected Publications
For a complete list of publications, please visit my Google Scholar profile here.
- Derecho: Privacy Pools with Proof-Carrying Disclosures
Josh Beal, Ben Fisch. CCS 2024. - Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations
Josh Beal, Hao-Yu Wu, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk. WACV 2022. - Toward Transformer-Based Object Detection
Josh Beal, Eric Kim, Eric Tzeng, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk. - Bootstrapping Complete The Look at Pinterest
Eileen Li, Eric Kim, Andrew Zhai, Josh Beal, Kunlong Gu. KDD 2020. - Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
Josh Beal, Edward Chou, Daniel Levy, Serena Yeung, Albert Haque, Li Fei-Fei.