A cool story that connects the first data I ever analyzed to the work we are doing with Synthesize ! youtube.com/shorts/zN4_m...

Generative genomics predicts future and impossible experiments! Read the new preprint from Synthesize Bio: www.biorxiv.org/content/10.1... and anyone can try our models on the cloud or in R/Python! product.synthesize.bio

CAIA is breaking down research silos with federated learning. AI models learn from diverse data without moving it. Read more: www.canceralliance.ai/blog/beyond-... Congrats to @jtleek.bsky.social + CAIA for advancing secure, equitable cancer research. #CancerAI #FederatedLearning #Biostatistics

Our pioneering partnership with leading cancer centers and tech companies has been recognized by TIME magazine’s #TIME100AI 2025 for groundbreaking work in artificial intelligence and cancer research!

Honored to see the Cancer AI Alliance included on TIME's list of the TIME100 AI of 2025! #TIME100AI. CAIA has been a true team sport based on the shared commitment of all our Alliance members to accelerate cancer research and ultimately improve and save patient’s lives. time.com/collections/...

Check out this great post explaining our approach to enabling AI model learning and reasoning across multiple-institutions while carefully protecting (and never transferring!) patient data! www.canceralliance.ai/blog/caia-fe...

I was recently on a panel talking about Synthesize Bio and the future of AI in biotech! www.youtube.com/watch?v=AR5s...

Fred Hutch data scientists Carrie Wright and Elizabeth Humphries weigh in on OpenAI's first open-weight reasoning #AI, noting its potential for personalization in research applications while emphasizing thoughtful integration. Via @nature.com go.nature.com/4mFSoRb @fredhutchbiostat.bsky.social

Code from my first live R package demo talk in honor of Hadley at #jsm2025 gist.github.com/jtleek/8c927... Steve Salerno, Awan Afiaz, and I have been developing the scorcher package to help you more easily fit deep learning models in R ! github.com/jtleek/scorc...

The highlight of my #jsm2025 talk was @hadley.nz roasting the panel with ChatGPT.😂 I also love that he talked about aspiring to kindness!

We are about to be live talking about how cool @hadley.nz is in CC214 at 1030am ! Come hang out if you are at #jsm2025

My family and I are going to be running the 5k at Obliteride again this year! (we'll be biking as soon as the boys are old enough :)). We are raising funds for data science and AI efforts to find cancer cures at the Fred Hutch, consider donating if you are able! secure.fredhutch.org/site/TR/Obli...

Wild congratulations to one of the most incredible people I’ve ever worked with. @benlangmead.bsky.social I hope you are celebrating this very well deserved honor!!!

These are not just grants. This is thousands of people who devoted their lives and careers - taking pay cuts, working long hours, living with uncertainty - all for the chance to try to make people's lives a bit better for you and your loved ones. This breaks my heart.

Damn... I wonder why scientists wouldn't want to come to the US to compete at the highest levels for highly-restricted funding that then gets pulled surreptitiously for some imagined reason or no reason at all, all while being vilified by the federal government for their work? A mystery! 🤔

Industry friends, now is the time for MUCH more speaking out on behalf of academic colleagues under duress. Here are core open source methods that many of your products doubtlessly depend on either directly or indirectly (see en.wikipedia.org/wiki/HMMER) being abruptly defunded. Make noise.

If you are around Seattle, see ya there :)

Bright and early talk by @jtleek.bsky.social at the Princess Margaret Cancer Centre Grand Rounds on building and scaling AI engines in oncology.

NOOOOOOOOOOOOOOOOOOOOOO

Congratulations to the @jxtxfoundation.bsky.social scholarship winners for the 2025 Biology of Genomes conference @cshlnews.bsky.social! Learn more about their research and the scholarship program here: jxtxfoundation.org/news/2025-3-... #bog25

Synthesize Bio's platform is awesome as a teaching tool. In just a couple of minutes you can (a) find a dataset, (b) run a validated workflow like @mikelove.bsky.social's published EDA workflow, and (c) share with your friends: app.synthesize.bio/notebooks/3a...

This alliance helps solve the key technical challenges that will enable us to securely use both #AI and massive computational power to find these breakthrough insights and save more lives. Congrats to the CAIA team on this well-deserved recognition! #oncsky

An incredible honor and the momentum is building for the Cancer AI Alliance. We have been hard at work behind the scenes - expect more public from us soon! @brianmbot.bsky.social (pictured) and the broader CAIA team are amazing and it is fantastic to see their work rewarded.

We are in a period of remarkable progress in cancer research and care. It’s critical that we don’t let near-term pressures immobilize us and lose sight of our long-term plans. Thanks to Becker’s Hospital Review for inviting me to share what's at stake. www.beckershospitalreview.com/oncology/ami...

Really excited about releasing our platform for integrating gene expression data - search for and easily integrate multiple datasets app.synthesize.bio/datasets, analyze them in Notebooks, and sign up for our beta for AI-generated gene expression data from experimental designs!

The beta version of Synthesize Bio is up! You can jump right to playing with data! - Pull ready-to-go publicly available gene expression data. - Play around with this data using notebooks. - Request access to the beta version of AI data generation. product.synthesize.bio!

This is beyond short sighted. www.science.org/content/arti... The Women’s Health Initiative is simultaneously a gold standard for how to do large scale research, a huge impact study, a long term investment, and one of the best resources for AI in science. I’m just gutted for everyone involved

Cancer mortality rates have been dropping because of NIH and NCI funded research to Universities. Without it there would be no new cancer treatments that save lives.

The Cancer AI Alliance (www.canceralliance.ai) is hiring for a full time Director of Operations role careers-fhcrc.icims.com/jobs/29460/c... This role will drive execution across legal, financial, research compliance, philanthropy, and business development.

www.nytimes.com/2025/04/03/o... Really important piece to share widely. Too many Americans don’t know how severe a threat this Administration poses to our scientific infrastructure, global leadership, and health security

Excited to officially welcome Google and AI2 to the Cancer AI Alliance ! www.prnewswire.com/news-release... The alliance is enabling us to move at incredible speed and still being super careful about data thanks to the big collaborative team of experts!

Check out this awesome new R package for simplifying working with AWS from folks at @fredhutch.bsky.social recology.info/2025/04/sixt...

Public health biostatistics has always been incredibly important; but in this moment even more so! Consider nominating an early career biostatistician for our field's most prestigious award: www.spiegelmanaward.org by May 1! This is an opportunity to highlight how biostatistics helps so many people

👏 Huge congratulations to Assistant Prof @lucystats.bsky.social for her Emerging Leader Award from the Committee of Presidents of Statistical Societies!

Our Cancer AI Alliance is up for Health Innovation of the Year for the Seattle-based Geekwire awards! www.geekwire.com/events/2025-... @fredhutch.bsky.social is very proud to represent our Alliance - we'd love your vote for the hard work being done by all of the people involved!

Watching one of the world’s leading scientists talk about one of the world’s most important studies; Garnet Anderson from @fredhutch.bsky.social reflecting on 30 years of the Women’s Health Initiative. Such an incredible force for good over 3+ decades

This is an incredibly important post by @rafalab.bsky.social on our Simply Statistics blog (its still around!) on why "indirect costs" are spent on research and its not enough! simplystatistics.org/posts/2025-0...

Amazing work from a big collaborative group in publishing our ipd R package for doing inference after prediction. Are you making predictions with ML models? Then you should be using ipd! academic.oup.com/bioinformati... code here: github.com/ipd-tools/ipd

This is an INCREDIBLE episode. I would say without exaggeration podcast episode of the year in #ai. It is a fully human centered view of the data that drives our models. Should be required listening for anyone who uses data about people in their work.

So excited about the huge possibilities of this public private partnership with our amazing colleagues in tech and across cancer centers!!

Hopkins is recruiting 30 Bloomberg Distinguished Professors in AI + X (X = astrophysics, cancer, neuroscience, genomics, social sciences, etc.) hub.jhu.edu/2024/12/17/d... 22 of these 30 will be organized in clusters that were selected after rigorous external review. The list of clusters is:

I think one low cost, high impact intervention to improve peer review is training trainees on what peer review should look like. I wrote this guide for my students: github.com/jtleek/reviews that includes an opinionated approach to what is/isn't important in review (pretty computationally flavored)

I know lots of requests on Tuesdays. Let me pitch in the one I did give to today, the @jxtxfoundation.bsky.social foundation for #OpenScience. Please give a little, a lot, and often, not just this Tuesday. Think about the #OpenScience minds that need 2 B encouraged! www.zeffy.com/donation-for...

Check out this awesome new podcast "Cracking the Cancer Code" on the intersection of data/ai and cancer: crackingthecancercode.buzzsprout.com

Check out this awesome new course on Ethical Data Handling on Coursera from the @itcrtraining.bsky.social team! www.coursera.org/learn/ethica...

If you want to learn more about inference with predicted data, we have a fun little review out - "Do we really even need data?" arxiv.org/abs/2401.08702

Going to start posting here! First up, check out our preprint on our new software package ipd for doing inference with predicted data: arxiv.org/abs/2410.09665 - package up on CRAN: cran.r-project.org/web/packages....