
Professor @Yale | Systems immunologist studying human immune variation. We measure, predict, understand, and engineer individual immunity and health 🇨🇦🇺🇸.
Yale University, CT, USA
Joined February 2021
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John Tsang @tsanglab.bsky.social retweeted
University websites are like distant stars, when you look at them you see the scientists as they used to be many years ago
John Tsang @tsanglab.bsky.social retweeted
With our deepest gratitude to everyone who joined us on this journey. 🫶
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Music: Cantique by Nadia Boulanger performed with @kathystott
John Tsang @tsanglab.bsky.social retweeted
A fantastic day celebrating the 40th anniversary of the discovery of the TCR. Check out this T cell speaker photo which includes co-discoverers Tak Mak and Mark Davis. Thanks @UofT, @uoftmedicine, @ImmunologyUofT, @thePMCF for your support.
John Tsang @tsanglab.bsky.social retweeted
This award is very hard to respond to. I have received many hundred congratulatory notes, from former students, post-docs, Princeton University juniors and seniors, funding agencies and foundations, authors, signature collectors, amateurs, elementary school neural network followers, and on and on. An astonishing fraction of them has found their way into useful and interesting Neural Network careers by a casual interaction in class, at a meeting, hearing what I had to say about their ideas, learning from thinking about how I worked with a class, or from being my teaching assistants... There are some whom I remember well, and others for whom my reaction is “are they certain that our interaction sparked a single usable thought?” Yet they go on and comment “you changed my life” and follow on to explain that they heard me lecture when they were 15, and have been a member of the Neural Network brigade of the research army ever afterward.
I cannot make detailed comments to most of my letter writers. In sum I can only say that I tremendously enjoyed the interactions that the Neural Network community provided me with; that the mutual interactions have given me much pleasure over the years; that the community interested both in brain and in artificial brain has proved a good way for science to develop even if institutions have not always been sympathetic. Often these institutions found the enthusiasm infectious, after a period of doubt. In short, we often have won--. No, perhaps all we know is that we have not yet lost. I still believe that finding mind lodged in biological matter is the most profound question that physics can pose. And that the breadth of physics is a good base from which to begin.
John Tsang @tsanglab.bsky.social retweeted
🚨 Great alternatives to BioRender are now available!!
📢 @NIAIDNews offers a collection of public figures and icons for everyone to use. Check it out at bioart.niaid.nih.gov
John Tsang @tsanglab.bsky.social retweeted
Big congratulations to Haifan! Well deserved recognition for his fundamental discoveries.
Congratulations to AFAY Board Member Prof. Haifan Lin for being elected to the National Academy of Medicine! medicine.yale.edu/news-artic…
John Tsang @tsanglab.bsky.social retweeted
Interested to learn about Yale’s #PhD program in Computational Biology and Biomedical Informatics (CBB)? Join our virtual open house for interested applicants on Tuesday, October 22, 8–9PM ET. Register at: yalesurvey.ca1.qualtrics.com… @YaleCBB @YALEBBS
John Tsang @tsanglab.bsky.social retweeted
Just getting back from an amazing aurora display in a location I've always wanted to see it at, Jordan Pond in Acadia National Park. This was the first night of our photo workshop and the whole group got to experience this together! So amazing!
#maine #aurora #northernlights
John Tsang @tsanglab.bsky.social retweeted
Outside the classroom where I teach applied complex analysis, I spotted this poster of Frank Rosenblatt. He invented the perceptron, and helped launch the study of machine learning.
John Tsang @tsanglab.bsky.social retweeted
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John Tsang @tsanglab.bsky.social retweeted
Just heard the sad news that our former @Cornell colleague Richard S. Hamilton died over the weekend. He was 81 years old. Known for his work on Ricci flow and laying the foundations towards proving the Poincaré conjecture and Thurston’s geometrization conjecture, he was awarded the Veblen Prize, a Clay Research Award, and the Steele Prize for Seminal Contribution to Research, and was elected to the National Academy of Sciences. He provided an autobiography in 2011 when he was jointly awarded the Shaw Prize.
shawprize.org/autobiography/…
John Tsang @tsanglab.bsky.social retweeted
Scotland has detected no cases of cervical cancer in women born between 1988-1996 who were fully vaccinated against HPV between the ages of 12 and 13.
statnews.com/2024/01/25/hpv-…
John Tsang @tsanglab.bsky.social retweeted
Excited to share TxGNN, a model that identifies potential therapies from existing medicines for thousands of diseases. Trained across 17,080 diseases, TxGNN predicts drug candidates for conditions with limited or no treatment options, including rare diseases
@NatureMedicine paper: nature.com/articles/s41591-0…
Globally, there are over 7,000 rare and undiagnosed diseases, yet only 5 to 7 percent have treatments, leaving the majority untreated or undertreated. Even for more common diseases, new drugs could offer alternatives with fewer side effects or replace drugs that are ineffective for certain patients
TxGNN generates new insights on its own in the form of multi-hop interpretable rationales, applies them to diseases it was not trained for, and offers explanations for its predictions
Human evaluation showed that TxGNN's predictions perform well across multiple axes of performance
Many of TxGNN's predictions align with off-label prescriptions used in a large healthcare system
Many thanks to a fantastic research team @KexinHuang5 @payal_chandak @WangQianwenToo @_toolazyto_ @AkhilVaidMD @jure @girish_nadkarni @BenGlicksberg
@HarvardDBMI @harvardmed @KempnerInst @harvard_data @broadinstitute @cziscience
@harvardmed News and Gazette: hms.harvard.edu/news/researc… Thanks @EkaterinaPeshev
John Tsang @tsanglab.bsky.social retweeted
TCR repertoire dream: decoding immune status by sequencing TCRs. Problems: 1) Need paired TCRab chains 2) Interesting T cell clones are often VERY small. Our solution: TIRTL-seq 🐢Deep, quantitative, & affordable paired TCR repertoire sequencing. 🧵 biorxiv.org/content/10.1101/… (1/11)
John Tsang @tsanglab.bsky.social retweeted
There's no shortage of biomarkers of aging—epigenetic, proteomic, transcriptomics, lipidomics, glycomics, metabolomics—but their translation to the clinic is limited. A new, frank appraisal of the challenges @NatureAging
nature.com/articles/s43587-0… @LudgerGoeminne @gladyshev_lab and colleagues
John Tsang @tsanglab.bsky.social retweeted
Artificial Intelligence may not be up for the Fields Medal any time soon, but it may act as an intermediary for mathematicians working on proofs. However, something is lacking for AI to get down to it.
Terry Tao looks to the positives. Full lecture: youtube.com/watch?v=_sTDSO74…
John Tsang @tsanglab.bsky.social retweeted
Top 10 Manu Prakash teachings from his amazing episode of the Night Science Podcast.
1. Science is a sense of wonder; a personal sense of experience.
2. Science gives us increasing agency; you realize it’s like a car you drive with no roads.
🧵⬇️
@ManuPra18599785 @MartinJLercher
John Tsang @tsanglab.bsky.social retweeted
Hear from a talented lineup of immunologists next Wednesday, Sept 18 featuring @zurisullivan, @alexwellsies, @DjenetBousbaine, @ValeriaMReyes, @CicaCanesso, @ScientistBecs, @Liwen_Deng811, & @NZanluqui.
Register: bit.ly/ScrippsLeaders






























