Dan Hudson

PhD candidate at the University of Oxford. My interests lie in computational immunology and deep tech for new drug discovery. Opinions are my own.

[Oxford Protein Informatics Group (OPIG) @OPIGlets]

In our latest preprint, @OPIGlets DPhil student @GuyDurant2 et al. benchmark machine learning-based scoring functions and release a new toolkit (ToolBoxSF) to robustly interrogate performance & determine the effect of dataset biases on predictions
https://t.co/qIlBbyySFT

[OxASN: The Oxford Antigen Specificity Network @Ox_T_Cell_ASN]

Can’t agree more

[Oxford Protein Informatics Group (OPIG) @OPIGlets]

Dan Nissley contributed molecular dynamics simulations & analysis to a new biotechnology that measures "antibody reach" (i.e. the distance spanned in bivalent binding), a property with strong links to neutralisation activity. @biorxiv: https://t.co/AFZwOi0qNi

[Michael Birnbaum @MEBirnbaum]

Thrilled to be leading this international, multidisciplinary team of TCR Matchmakers that made the #Grandchallenge shortlist. We look forward to combining immunology, engineering, and AI to address pairing TCRs with antigens, a key problem in our field. @CancerGrand

[hashem @hashemkoohy]

A high-affinity human TCR-like antibody detects celiac disease gluten peptide–MHC complexes and inhibits T cell activation | Science Immunology https://t.co/dPhzPe7NIF

[Dan Hudson @hudd_ox]

@hashemkoohy @theRafLab @basham_mark @MRC_HIU @MRC_WIMM Thanks very much @hashemkoohy, @theRafLab, @basham_mark, Graham and all at the @MRC_WIMM and @RosFrankInst for the support in conceiving and shaping the article and more broadly for my PhD. A real privilege to work with and learn from you all!!

[hashem @hashemkoohy]

Very pleased to share our end-of-the-year work with you:
A robust deep learning platform to predict CD8+ T-cell epitopes https://t.co/OIHQGwkHeW

[Dan Hudson @hudd_ox]

@drchristhorpe Thank you Chris and @bsicongress for the opportunity to present!

[Hensley Lab @SCOTTeHENSLEY]

We developed a new multivalent mRNA vaccine against all known influenza virus subtypes. Our study describing the vaccine was just published in @ScienceMagazine. 1/n
https://t.co/HxTKm47EC3

[Brennan Abanades @brennanaba]

Excited to share our most recent piece of work at @OPIGlets : ImmuneBuilder, a set of deep learning based tools to predict the structure of antibodies, nanobodies and TCRs. (https://t.co/WMDRNBqysB)

[Abi Adams @abicadams]

Come work with me as a 3-year postdoc to research bargaining & behaviour at divorce as part of my @ERC_Research grant!

@OxfordEconDept has a fab household/gender group inc @hamishlow_econ @b_petrongolo @alison_andrew1 @ningzhang0927 @fjaellegaard

Link: https://t.co/KDW3ce6g8m

[Oxford Protein Informatics Group (OPIG) @OPIGlets]

Our new tool, KA-Search, allows exhaustive yet efficient antibody mining through billions of natural sequences (from OAS and/or your private data), enabling new avenues in function & immunogenicity prediction. Work led by @HegelundOlsen and @brennanaba.

https://t.co/xSt8si8lpW

[hashem @hashemkoohy]

Very pleased share our new study :A systems approach evaluating the impact of SARS-CoV-2 variant of concern mutations on CD8+ T cell responses https://t.co/GZYLVqB6oq

[Dan Hudson @hudd_ox]

https://t.co/PuzVX2pLha

[Tao Dong Group @TaoDongGroup]

A lovely event to celebrate Ling’s life and her legacy 💛

[BIOS @bios_community]

BIOS — Top 100 TechBio VC Funds 🧬

As TechBio reaches critical mass, we thought it time to centralize the world of TechBio VC into one sheet

We hope this database becomes a useful resource & serves as a go to for founders raising VC Funding…

https://t.co/MA7xN3rmpc

[Judy Shen @judyhshen]

Let's talk about MONEY.

Some Ph.D. students never worry about it, some Ph.D. students are worried about it all the time.

I am sharing what my monthly looks like as a CS Ph.D. student at Stanford and how I think about my financial future.

https://t.co/nbUDlOz4e1

[Thomas Pedersen @thomaskainamura]

Among billions of potential microbiome epitopes hide few immunodominant 'keystone' epitopes recognized by T cells. Out today in @ImmunityCP, we discover keystone epitopes and show T cell responses to reflect intestinal immune health. https://t.co/YE9zHrd3y9

[𝐉𝐨𝐡𝐧-𝐖𝐢𝐥𝐥𝐢𝐚𝐦 𝐒𝐢𝐝𝐡𝐨𝐦, 𝐌𝐃, 𝐏𝐡𝐃 @John_Will_I_Am]

5 years ago, I proposed using #DeepLearning to predict response to immunotherapy in TCR-Seq.
🧬🧬🧬🧬
Last year, we published #DeepTCR. Today, I am proud to share its application in cancer immunology, now out in @ScienceAdvances #ScienceResearch
🔶🔷🔶🔷
https://t.co/VRxPqwZP5F

[UK Research and Innovation @UKRI_News]

NEW: We're increasing our minimum student stipend by 10% from 1 October 2022. Full details: https://t.co/hhmtX95OVW