Dhuvi Karthikeyan

@dkarthikey1.bsky.social

Shape rotator and vibes curator at UNC’s Personalized Immunotherapy Research Lab. Generative modeling and representation learning in biology. 👨‍🏫👨‍🔬

When a T cell carries both its natural TCR and an engineered CAR, do these two receptors cooperate - or compete? Our new preprint on bioRxiv shows that TCR activation can enhance CAR-T activation but impairs CAR-mediated killing when targets are on separate cells. www.biorxiv.org/content/10.1...

TCR activation impairs CAR-T cytotoxicity against separate target cells

Chimeric antigen receptor T cells (CAR-T) are effective therapeutics against cancer and autoimmunity, but whether the endogenous T cell receptor (TCR) is beneficial, detrimental or irrelevant for CAR ...

biorxiv.org

tl;dr T5 style translation model to generate T cell receptors from targets actually kinda works Caveats: not full TCR (CDR3b), strong signal that public data biased towards “polyspecific” TCRs — lo and behold, generated TCR-T is polyspecific in vitro. Open weights, go wild.

Jamie Heather@jamieheather.bsky.social · 11mo ago

This is a cool story that I've watched with great interest - making big steps in the field of de novo TCR generation! Great work @dkarthikey1.bsky.social / @benjamingvincent.bsky.social / @alexr.bsky.social et al

With some key contributions by Sarah Bennet in actually turning predicted TCRs into TCR-Ts and testing them! Hopefully this raises the bar on TCR generation evals, I think we the best in silico metrics and 1 in 20 TCRs just kinda works.

Today’s news about Joe Biden makes it almost difficult not to reflect on the unrealistic promises from AI leaders who claim AI could end disease and usher in radical abundance. Disease will persist. AI is a tool, not a cure-all. People deserve truth, not hype. www.cbsnews.com/amp/news/art...

Artificial intelligence could end disease, lead to "radical abundance," Google DeepMind CEO Demis Hassabis says

At Google DeepMind, researchers are chasing what's called artificial general intelligence: a silicon intellect as versatile as a human's, but with superhuman speed and knowledge.

cbsnews.com

what do you teach at the first-year graduate course on machine learning, in this era of LLM and large-scale compute? here's my experiment on answering this question: let's teach everything that admits SGD and that is not LLM, and ask students to read old papers.

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My PhD student's NSF grant was terminated today. Her dissertation investigates why air pollution monitoring, metrics, and regulations don't properly capture the harms experienced by marginalized communities--esp in the most polluted Detroit neighborhoods. She and I are happy to talk with press etc.

NSF Award Search: Award # 2240343 - Constructing Credible Knowledge and Expertise in Air Pollution Regulation and Monitoring: The Problem of Quantification Lock

nsf.gov

🚨BREAKING. From a program officer at the National Science Foundation, a list of keywords that can cause a grant to be pulled. I will be sharing screenshots of these keywords along with a decision tree. Please share widely. This is a crisis for academic freedom & science.

list of banned keywords

Musks method of ruthlessly enforcing efficiency by removing things and adding them back if the system breaks has worked well for pruning complexity of products, pipelines and entire companies. But applying this methodology to govt is dangerous and will result in greater harm to the American people

My usual go to is VDJdb. Set antigen species to human, minimal confidence score to 3, and paired A+B. It's not perfect, but it filters out most of the cruft. There's also a new DB called TRAIT which has a nice pack of TCRs that are being/have been trialed, which are mostly against human epitopes.