Vishakh (vishakh)

Using MPC for Anonymous and Private DNA Analysis Recapping how @monadicdna used @nillion multi-party compute to run a groundbreaking experiment this year where a cohort of thirty pioneers had their DNA collected for fully encrypted storage and analysis. https://vishakh.blog/2025/07/08/using-mpc-for-anonymous-and-private-dna-analysis/

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The FHE Illuminati is starting to assemble at the COED Summit at Stanford. Can my poor brain handle all this signal? We'll find out!

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For all seven FHE enjooooyers out there, I can confirm hardware acceleration on @zama tfhe using Belfort FPGA instance works. >10x speedup across the board on basic genomic algos as well as intense O(n^2) ones that iterate over large datasets. Assuming decent pricing, it's going to be an interesting future!

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This frame by @maybenavi and I is our submission for @ethglobal's Frameworks hackathon! Our project, Truthsayer, provides a distributed oracle using Farcaster. Thanks, @neynar and @base.base.eth, for making this fun. Happy framing! 🖼️ https://frames.neynar.com/f/57faa2b8/87778996

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Using verifiable computation with ZK using RISC Zero to secure and process genomic data: https://warpcast.com/vishakh/0xaf2807c3

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Many people are reluctant to use personal genomics services due to real privacy concerns. At Scaling Ethereum, my team and I built Monadic DNA, a project showing how a decentralized, privacy-first approach using @nillion, /risc-zero and @ethsign could secure private genetic data. youtu.be/VAPJfYNbnNU CC @maybenavi

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There's no winning here. Regulations prevented many companies from running payroll and benefits using crypto so they had to rely on existing rails. Then, even if a company didn't issue or trade crypto, they still got debanked for just being associated with new tech.

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