Surag Nair
Machine learning and genetics @Genentech. Previously CS PhD @Stanford.
suragnair.github.io
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- Excited to share Nona: a unifying multimodal masking framework for functional genomics. Models for DNA have evolved along separate paths: sequence-to-function (AlphaGenome), language models (Evo2), and generative models (DDSM). Can these be unified under a single paradigm? 1/15
- Multimodal masking provides a unified approach. Nona operates on both DNA sequence and functional genomics tracks. Task-specific masking configurations recover familiar model types, and its flexibility enables entirely new approaches! 2/
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- We are hiring an intern to work with our team at Genentech next summer, on exciting projects related to deep learning for DNA/RNA sequences. Please share and apply! roche.wd3.myworkdayjobs.com/ROG-A2O-GENE...
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- Reposted by Surag NairGene regulation involves thousands of proteins that bind DNA, yet comprehensively mapping these is challenging. Our paper in Nature Genetics describes ChIP-DIP, a method for genome-wide mapping of hundreds of DNA-protein interactions in a single experiment. www.nature.com/articles/s41...
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- Reposted by Surag NairA reminder for new folks. BlueSky does not have an algorithm to raise posts of interest. It is incumbent upon you to do so via reposting. Liking things only provides feedback to the poster but does not promote the post. The signal to noise ratio is taking a brief beating, so great to help curate.
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- Highly recommend if you’re considering a PhD in ML for genomics. Jacob is a phenomenal scientist, knows how to dive deep into the nitty-gritty of things, is incredibly patient, and just a very fun person to work with. His weakness? Incosistent joke quality.
