Scott Boyd Lab for Human Immunology research at Stanford University

Joined January 2022
7 Photos and videos
Scott_Boyd_Lab_Stanford retweeted
Immunera (startup cofounded with @zazius & @ScottBoydLab) is hiring senior ML researchers and engineers in NYC. We’re building blood tests powered by sequencing and protein language models. See below for more details. Please RT. 1/
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Scott_Boyd_Lab_Stanford retweeted
A Stanford immunologist reviews the 181 page document that RFK provides as evidence supporting his statements that harms of mRNA vaccines outweigh benefits attempting to justify his decision to cancel contracts. statnews.com/2025/08/13/rfk-…
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Scott_Boyd_Lab_Stanford retweeted
The HPV vaccine is CRUSHING cervical cancer and at this rate will eliminate it!! An anti cancer vaccine. It's a medical miracle. HHS Secretary RFK Jr is against it
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Scott_Boyd_Lab_Stanford retweeted
7 May 2025
Today, in collaboration w/ colleagues at the Institute of Science and Technology Austria (ISTA), we report the first-ever method for using light microscopy to comprehensively map all the neurons & their connections in a block of mouse brain tissue. More →goo.gle/4maUNUs
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Will mostly be on Bluesky now. Same handle.
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Scott_Boyd_Lab_Stanford retweeted
📢 Genome Research Update from MiLaboratories! 📢 We are happy to share that our latest research paper, "Ultrasensitive Allele Inference from Immune Repertoire Sequencing Data with MiXCR," is published in Genome Research. Our team, in collaboration with @ScottBoydLab and @AMikelov , PhD from Stanford University, Corey Watson @ctwatson29 and Oscar L Rodriguez @olrodriguez_ from University of Louisville, Diego Ortmans and Souad Rahmouni from University of Liège, has developed a novel algorithm for highly sensitive and specific inference of variable (V) and joining (J) gene alleles. This breakthrough allows for the reconstruction of individual high-quality gene segment libraries, enhancing our understanding of allelic diversity in immunoglobulin (IG) and T cell receptor (TR) loci. Check out our public database built using AIRR-seq data from 450 donors: vdj.online/library Key highlights: - Our algorithm is integrated into the MiXCR software, enabling high-throughput novel allele discovery. - We assessed genetic diversity within IGH, TRA, and TRB loci across diverse populations using AIRR-seq data from 450 donors. - A publicly accessible database of inferred alleles and their population frequencies has been established and made available at vdj.online/library . A big thank you to all our colleagues and collaborators! 🔗 Read the full paper here: lnkd.in/d8pVmQ4y

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Scott_Boyd_Lab_Stanford retweeted
Today the department's newly appointed lab head Dr Prasanti Kotagiri presented her work from @ScottBoydLab @Stanford - a fascinating talk about antigenic breadth in SARS‑CoV‑2 and Crohn's disease. What a terrific start to her time here, we can't wait to see what comes next!
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Scott_Boyd_Lab_Stanford retweeted
To all budding compbio & ML folks interested in bio: Don't just only run behind the latest ML model hype train. The greatest long run impact will come by really assimilating prior bio/compbio literature with the goal of really understanding strategies for how to model biology. 1/
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Scott_Boyd_Lab_Stanford retweeted
These Captchas are getting out of hand #pathology #pathologists #captcha
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Scott_Boyd_Lab_Stanford retweeted
Antibodies are the product of evolution on two timescales: over millions of years in vertebrate populations, and within weeks of infection or 💉 in populations of B cells. We ask how those timescales interact in our paper out in @PLOSPathogens 🧵 1/n t.ly/U84Un
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Scott_Boyd_Lab_Stanford retweeted
I am so proud of this effort driven by @olrodriguez_ . This has been a long time coming and I'm so delighted to finally see this paper published. So grateful for a truly amazing team and great collaborators @SmithLab_UofL, @marasco_wayne, & @ScottBoydLab rdcu.be/dhp4A

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RT @laoneill111: Science at its best- data from 28 Covid vaccine randomized trials vs placebo. 286 915 people in vaccination groups and 233…
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Scott_Boyd_Lab_Stanford retweeted
Maxim @zazius (his brainchild & largely his words) the rest of the team
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Scott_Boyd_Lab_Stanford retweeted
Extremely well written manuscript from @anshulkundaje and @ScottBoydLab showing how a combination of 3 ML-models can identify a variety of disease states. Many of the features are even interpretable to help informed decisions and hypothesis generation | doi.org/10.1101/2022.04.26.4…
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Scott_Boyd_Lab_Stanford retweeted
This is not good.
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Scott_Boyd_Lab_Stanford retweeted
Our new paper by Corcoran et al., just out in @ImmunityCP, reveals a high variation in human T cell receptor germline genes. The alleles vary greatly in frequency between population groups and some are, surprisingly, inherited from our archaic relatives. authors.elsevier.com/sd/arti…
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Our updated machine learning of adaptive immune receptor data for identification of immunological diseases or exposures now uses both BCR/IGH and TCR/TRB sequences to increase accuracy. Thanks to the whole team for this major effort. @zazius, @anshulkundaje, @robtibshirani all.
We’ve released an update to our preprint with @anshulkundaje, @ScottBoydLab, @robtibshirani, and many others: “Disease diagnostics using machine learning of immune receptors” #tweetorial 🧵 (1/9)
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