11-12, 14:20–14:30 (Asia/Bangkok), Stage 4
MPCStats is a framework allowing data consumers to query statistical computation from either one or multiple data providers while preserving privacy to those raw data. We support standard statistical operations, including nested and filter ones. Data providers do not leak their data and data consumers can be convinced the computation is done correctly.
I'm a software engineer working on privacy-preserving statistics at Privacy & Scaling Exploration (PSE). I've been working on projects about blockchain and applied zkp. I'm interested in learning new things and turn them into code which can be useful by others.
Hi, Im Jern, a theoretical CS undergrad alumni from Columbia University. I love understanding knowledge/research fundamentally, trying to bridge them into application. Im currently a research engineer at PSE, tinkering at the intersection of zkp, mpc and fhe. Besides programmable cryptography, I'm very very passionate about education and how to empower people, hence core-contributing to EthPadThai, a Thailand grassroot web3 community.