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Allon Klein of Harvard University and #NASmember Aviv Regev of Genentech Broad Institute @HHMInews, are the inaugural James Prize in Science and Technology Integration recipients! #NASaward #RNA Read more: ow.ly/GBu050DaVy0

There are so many tests in Boston that even the wastewater can turn positive now??

Excited to share our #preprint on inCITE-seq for measuring nuclear protein levels + transcriptome at single cell! Like CITE-seq for cell-surface proteins, we use DNA-conjugated antibodies to measure proteins, but now inside the nucleus + transcriptome. biorxiv.org/content/10.110…

We are all Gang Chen

Honored that our work with Chris Sander aka cscbio Judy Shen Augustin Luna Anil Korkut in Cell Systems got highlighted by the latest Nature Computational Science. This is just a start. More to come - soon!!

Interesting interview with Aviv Regev about her move to Genentech: How to deliver better medicine? 1. human biology, 2. high-res methods, 3. modalities, and 4. computation & maths, the latter for "predictive, generative and interpretable models". nature.com/articles/d4157…

.Yuge Ji @MohammadLotfol1 Alex Wolf Fabian Theis review current approaches and data resources for learning perturbation response from single-cell data & examine future avenues for more powerful and explainable modeling using deep neural networks. cell.com/cell-systems/f…

The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models deepai.org/publication/th… by Greg d'Eon et al. #NeuralNetwork #Classifier

I am extremely excited to announce our next Q&A with the one and only Debora Marks. Come participate in our live Q&A on Slack on September 12 at 1:30pm PST/4:30pm EST (as always, you can find this on our calendar). This is a great opportunity to chat all things ML + bio

Thrilled to share our new paper describing a novel form of neural computation: single cells drastically change their tuning in <20ms, shifting from a code for face detection to one that enables fine face discrimination. Neural dynamics are much richer than previously conceived!

A long-awaited one-stop resource for machine learning on single-cell data in perturbation biology! Kudos to Stefan Peidli Tessa Green and an amazing team! #PerturbationBiology #SingleCell #AI4Science