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Wonder which cells in the human body #SARSCoV2 could infect? Our international Human Cell Atlas team used millions of single cell measurements across human organs to see which cells make ACE2 & either TMPRSS2 or CTSL, key genes for viral entry. biorxiv.org/content/10.110…

Excited to share Tangram, our method for mapping scRNAseq data on spatial data. Our work is part of the #BICCN and #HubMAP consortia. Collaboration led by Aviv Regev, between Broad Institute, Harvard University, AI Skunkworks at Northeastern University and FattahAmin X Unifi. biorxiv.org/content/10.110…

A microstructural neural network biomarker for dystonia diagnosis identified by a DystoniaNet deep learning platform pnas.org/content/early/…

Wow! Evgenij told me about this when he started working on it, but he really made it work! I can imagine tons of applications! Single-cell multimodal profiling of proteins and chromatin accessibility using PHAGE-ATAC biorxiv.org/content/10.110…

Bayesian segmentation of spatially resolved transcriptomics data biorxiv.org/content/10.110…

.Joe Biden has a plan to build our country back better and create millions of jobs—jobs that can help working families get ahead. Joe helped manage the Recovery Act, which jumpstarted the longest stretch of job growth in our history. And he’ll do it again.

We've been working on Seurat v4 for almost two years, and are excited to share it with you soon! In a webinar w/10x Genomics on 10/20, I'll introduce new methods to analyze multimodal single-cell data (i.e. from CITE-seq or the 10x multiome ATAC+RNA kit): 10xgenomics.com/event/integrat…

Landscape of intestinal organoid regeneration just published @nature by Prisca Liberali lab - 400k organoids imaged&assayed with 2.8k compounds. Amazing achievement+resource of organoid variation! See Prisca talk at Single Cell Omics Germany (SCOG) seminar this Friday. nature.com/articles/s4158…

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Excited to share 'compositional perturbation autoencoder', our new tool for single-cell response modeling. Led by @MohammadLotfol1 & Anna Klimovskaia Susmelj Facebook AI, we combine interpretability of linear models with flexibility of DL. biorxiv.org/content/10.110… ai.facebook.com/blog/ai-predic…

I am so excited to share the news that our research work is finally out as pre-print. Thanks to Marco Loggia MGH Martinos Center and King's College London for making this happen! It's been an incredible beautiful journey working on this together.

Excited that our PHAGE-ATAC work is now online in Nature Biotechnology ! We engineered nanobody-displaying phages for single-cell protein profiling and present a single-cell platform to measure protein, chromatin and mtDNA genotypes. 1/n nature.com/articles/s4158…

It’s been a dream to measure single-cell genomics profiles in live cells. We are thrilled to share our latest work Raman2RNA (R2R) with Aviv Regev, led by Koseki Kobayashi @kjkk_beta, and our collaborators Tommaso Biancalani Tommaso Biancalani, Peter So, and Ramnik Xavier.

I’m happy to share that I’m starting a new position as Senior AI Scientist at Genentech AI/ML department and starting my own group 🙈