vishakh82

5 ms·

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by vishakh82 2mo ago
Just to be clear, we are not ourselves working on private home sequencing. I'm aware of people working on at-home devices but that is not our own approach. We are just working on a mixing service to anonymize data user identities as th
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by vishakh82 2mo ago
Thanks! And, yes, exactly..MPC can be a boon for such data sharing.
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by vishakh82 2mo ago
I think I understand what you’re saying. We’re focusing on an incremental improvement. There are people actively working on private home sequencing, at home analysis devices, etc and they’re best placed to do it. We’re trying to get ahead o
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by vishakh82 2mo ago
Let people get their DNA sequenced without giving up anonymity or privacy. Let people benefit from DNA data analysis without the data leaving their device or sphere of control. Let people monetize their genetic data without compromising the
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by vishakh82 2mo ago
The idea is to create an incentive or altruistic mechanism for people to contribute their data without losing anonymity and privacy.
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by vishakh82 2mo ago
Not our lab. We simply aggregate the anonymous samples and then work with third party accredited labs.
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by vishakh82 2mo ago
We have shown that we can batch user samples and then send them anonymously to the lab. Users can then use an MPC protocol to securely fetch their data without losing anonymity. We plan to roll out a product called Batcher which does this s
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by vishakh82 2mo ago
You're right, most analyses are done using biobanks, etc right now. The sentence is an oversimplification but people still implicitly contribute their data to insecure and centralized sources. If we can enable people to get sequenced n
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by vishakh82 2mo ago
There are many motivations for consumer genomics and they might pick up further. https://vishakh.blog/2025/07/08/using-mpc-for-anonymous-and-... If you look at a previous experiment we did, the costs for gett
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I Built a Private Genomics Study with Stoffel MPC(vishakh.blog)
25 points by vishakh82 2mo ago|27 comments
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Local-first analysis of a million genetic traits with LLM-assisted exploration(blog.monadicdna.com)
2 points by vishakh82 9mo ago|1 comments
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by vishakh82 9mo ago
Hi, I’m a member of the Monadic DNA team. This post describes a local-first approach to personal genomics. Large-scale analysis (processing raw genotype data against the GWAS Catalog, >1M traits) runs entirely on the user’s device. LLMs
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Monadic DNA Explorer: Private genomic analysis with secure AI(blog.monadicdna.com)
1 points by vishakh82 11mo ago|1 comments
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by vishakh82 11mo ago
A privacy-first genomics tool that lets you explore hundreds of thousands of genetic traits from GWAS Catalog data and analyze your genetic information entirely in your browser, with optional secure LLM analysis.
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by vishakh82 11mo ago
I'm building Monadic DNA explorer, a tool to explore thousands of genetic traits from GWAS Catalog in your browser and plug in your own DNA data from 23andMe, Ancestry, etc. All processing happens locally on your machine and AI insight
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by vishakh82 1y ago
We're building this at Monadic DNA. I recently posted about our first stab at this at https://vishakh.blog/2025/07/08/using-mpc-for-anonymous-and-... . We'll have a waitlist up pretty soon for people
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by vishakh82 1y ago
I'm giving you general reasons why this is the case. For our own app, we hope to build a protocol where third parties can operate async on user data (with consent).
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by vishakh82 1y ago
You may wish to build a protocol where third parties can asynchronously operate on user data. You may also want to have separation between the end app and the compute layer for legal or practical purposes. Finally, you may not want to store
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by vishakh82 1y ago
It's really not that bad. We're close to using FHE in a production consumer app. https://vishakh.blog/2025/08/06/lessons-from-using-fhe-to-bu...
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Lessons from Using Fully homomorphic encryption to Build a Secure Consumer App(vishakh.blog)
5 points by vishakh82 1y ago|0 comments
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by vishakh82 1y ago
https://www.cdc.gov/newborn-screening/about/index.html https://www.genomicsengland.co.uk/initiatives/newborns
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by vishakh82 1y ago
We address this point in the article. On the default path with existing rules and regulations some degree of trust in labs will always be required. At-home sequencing could be a game changer. The other reply also mentions molecular cryptogr
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by vishakh82 1y ago
Your links seem to relate to regular plaintext sequencing, storage and analysis. We are building under full encryption.
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by vishakh82 1y ago
Unfortunately, credible external audits are really expensive. Our project is bootstrapped so we won't be able to afford a 100k audit for a while.
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by vishakh82 1y ago
Not at all. "S3" is only in the loop because that's what labs generally use. In production, when we have ongoing scale, we will not use S3 or anything like it to transfer data between labs and our infra, even if it means usin
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by vishakh82 1y ago
You're right about "anonymized" and "anonymous". We do point out avenues to reach anonymity. The legalese is for informed consent since biological materials are involved, handling liability and pointing out that the
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by vishakh82 1y ago
Think monad as in philosophy, less monad as in a programming burrito. Our intention is to let each user be a self-contained, enclosed (through encryption) unit where they get insights tailored to their unique genome. At the same time, we wa
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Using MPC for Anonymous and Private DNA Analysis(vishakh.blog)
37 points by vishakh82 1y ago|18 comments
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by vishakh82 1y ago
https://monadicdna.com Open, secure personal genomics using fully homomorphic encryption. With 23andMe bankrupt, I want to put out somewhere secure people can put their genomic data and receive insights. In a few months, I'
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by vishakh82 1y ago
We're launching a fully encrypted option for personal genomics called Monadic DNA. https://monadicdna.com/ We use fully homomorphic encryption to ensure only you can see your data and your results. The app will be live

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