Zoë Steier

Postdoc with @shaleklab at @MIT/@broadinstitute. Former PhD with @YosefLab and @airstreets at @UCBerkeley/@BerkeleyBioE.

[Zoë Steier @zsteier]

Congratulations, @MilcahCS! It was great to collaborate!

[Masopust Vezys Lab @Masopust_Vezys]

New paper about Trm profiling in @ImmunityCP featuring lead author @MilcahCS! Thanks to all the great collaborators including @shaleklab #residentmemoryTcells https://t.co/n07huaoBcm

[Ellen Robey @EllenRobey]

From the Robey (MCB), Streets (BioE), and Yosef (EECS) labs. We used single cell multiomics to provide a new perspective on one of the most intensely studied mammalian cell fate decision: the helper vs killer T cell fate decision. https://t.co/YqEFF10o1Q

[Zoë Steier @zsteier]

@airstreets @YosefLab @LabRobey

[Zoë Steier @zsteier]

Check out our work, now published in @NatImmunol! https://t.co/bFOq3QdQSY

[Zoë Steier @zsteier]

I am pleased to share the last major work of my PhD in the labs of @airstreets and @YosefLab, in collaboration with @LabRobey, Laura McIntyre, and @LydiaLutes. We used CITE-seq with totalVI analysis to study the drivers of CD4/CD8 T lineage commitment./1 https://t.co/VAHIwMPvYP

[Zoë Steier @zsteier]

@NAltemose @Stanford Huge congratulations, Nick!

[Zoë Steier @zsteier]

Thanks as well to @BioE_BEAST, @BerkeleyBioE, @Cal_Engineer, and @SiebelScholars for your support. And thanks especially to my wonderful advisors Aaron and Nir for this incredible opportunity to contribute to such an exciting, multi-disciplinary effort throughout my PhD./10

[Zoë Steier @zsteier]

I am pleased to share the last major work of my PhD in the labs of @airstreets and @YosefLab, in collaboration with @LabRobey, Laura McIntyre, and @LydiaLutes. We used CITE-seq with totalVI analysis to study the drivers of CD4/CD8 T lineage commitment./1 https://t.co/VAHIwMPvYP

[Zoë Steier @zsteier]

An especially rewarding aspect of this work was pushing beyond atlas-style analysis to investigate a developmental mechanism: we generated a hypothesis through computational analysis and validated it experimentally. Thanks to the entire team that made this possible./9

[Zoë Steier @zsteier]

@SarahJRockwood @CalTriathlon Thank you @SarahJRockwood! I have great memories of talking about research and PhD/MD goals while biking up Wildcat. Congratulations to you too!

[Adam Gayoso @adamgayoso]

Excited to share a more formal look at our work on scvi-tools, in which we describe an overview of the codebase and new features. We hope scvi-tools will set a community standard for the deployment of probabilistic models in single-cell omics

https://t.co/4gK6MsLO3I

[Berkeley Engineering @Cal_Engineer]

TotalVI: A transformative algorithm | Researchers have invented a computer algorithm that uses deep learning to integrate gene and protein data about single cells: https://t.co/0EYvuKUSdb.

@UCBerkeley #BerkeleyEngineering

[Zoë Steier @zsteier]

@timtriche @adamgayoso @airstreets @YosefLab @_romain_lopez_ Hi Tim, we did not do any enzymatic digestions on the spleen or lymph nodes, just mechanical dissociation (see "Cell Preparation" in the Methods of the published version: https://t.co/M4Rm0jaugl).

[Zoë Steier @zsteier]

Thrilled to share that #totalVI (our method for joint analysis of CITE-seq data) is now published in @naturemethods! It has been a fantastic collaboration with @airstreets, @YosefLab, and my co-first author @adamgayoso. Check out the tutorials on https://t.co/WzkQdxmrPC.

[Nature Methods @naturemethods]

Total Variational Inference is a framework for end-to-end analysis of paired transcriptome and protein measurements such as CITE-seq data in single cells from the Streets and Yosef labs. https://t.co/WjmxpJrtce