Jiarui Ding

Computational Biology, Machine Learning, Cancer Biology, Food Allergy

Talk is cheap, show me the code - Linus Torvalds

[Cell Genomics @CellGenomics]

ProtoCloud: A prototypical self-explaining model for single-cell analysis https://t.co/f1x4MRdjWR

[UBC Computer Science @UBC_CS]

UBC computer scientists have developed a new machine learning method to help researchers identify different cell types. ProtoCloud automates the process of annotating cell types in single-cell genomics. Learn more about the new paper in @CellGenomics : https://t.co/DOAEF5B6VP

[Jiarui Ding @JiaruiDing]

We built a “magic” cellular lens to extract and disentangle signals in single cells @CellGenomics @ubcscience @ScienceVancity @UBC_CS

[UBC Computer Science @UBC_CS]

UBC Computer Science researchers developed a deep generative model to disentangle biological processes in cells. CellUntangler extracts key representations of data points in single-cell RNA sequencing data to capture cell signals. Read more: https://t.co/eXNr9vWxOK

[Jiarui Ding @JiaruiDing]

@CellRepMethods @ubcscience The paper is here: https://t.co/PhrOvv2Kqk

[Jiarui Ding @JiaruiDing]

Excited to see this paper is out in @CellRepMethods! We think the preferred way to generate artificial single-cell multiomics data is to pair unimodality data. @ubcscience

[UBC Computer Science @UBC_CS]

In a new paper, UBC Computer Science researchers present a deep learning model to help scientists integrate and generate new multiomics data. Read more: https://t.co/Qrd9rCgBUL

[UBC Computer Science @UBC_CS]

UBC Computer Science invites applications for up to two full-time tenure-track positions with the following priority areas: visualization, robotics, reinforcement learning, data management, and data mining. Applications are due Wed Dec 10, 2025. https://t.co/ARgHUbnGny

[Jiarui Ding @JiaruiDing]

Nice study and interesting! We also identified a similar subset of dendritic cells, which we called CDC2C (PRDM16+), in the human esophagus (https://t.co/IEsjMQjLtf). From analyzing public data, we found these cells in the brain, colon, and two cross-tissue scRNA-seq datasets.

[Ranjan Upadhyay @RanjanMDPhD]

Check out this incredible study from the #LittmanLab @nyulangone @nyugrossman dissecting the origin of peripherally induced Tregs in the gut, with broad implications for therapies for autoimmune diseases! Co-led by Rabi Upadhyay, no biases here

[Science in Vancouver @ScienceVancity]

New results outline cellular alterations in #EosinophilicEsophagitis, a chronic #InflammatoryDisease, that advance our understanding of eosinophilic inflammation and therapeutic opportunities.

📝 Abstract in @NatureComms by @UBC's Dr. @JiaruiDing: https://t.co/tsB03lzEug

[Waggoner Lab @LabWaggoner]

An esophagus cell atlas reveals dynamic rewiring during active eosinophilic esophagitis and remission @RegevAviv @TheXavierLab @JiaruiDing @NatureComms
https://t.co/Qzd2whWKSj

[David Poole @davpoole]

@AlanMackworth and I just got the printed version of our new AI textbook published by @CambridgeUP (freely available online at https://t.co/wwwaFSf19F).
Artificial Intelligence: Foundations of Computational Agents, 3rd edition.
#AI #AIFCA @CAIDA_UBC @UBC_CS @UBC

[UBC Computer Science @UBC_CS]

Congratulations on your CRC, @JiaruiDing !
@CAIDA_UBC @UBCDSI #MachineLearning

[Sai Ma @saima_lab]

Our SHARE-seq paper for single-cell ATAC+RNA co-profiling is now in Cell!
@CellCellPress
https://t.co/Mx5cZmMe39

[Xavier Lab @TheXavierLab]

Excited to be a part of the interdisciplinary team working on “Untangling Neuroimmune Communications in Food Allergy” through an award from FARE @FoodAllergy (https://t.co/lkRtOYrLyx)

[Jiarui Ding @JiaruiDing]

@travishughes @marc_wadsworth @shaleklab Congratulations! Beautiful work with increased sensitivity, making it even better to detect some 'fragile' cell types!

[Travis Hughes @travishughes]

Seq-Well S3 is now live! https://t.co/txQPkFWpty
An enormously collaborative project with @marc_wadsworth , Todd Gierahn, Chris Love, @shaleklab, Robert Modlin and Johann Gudjonsson.

A brief tweetorial 1/n:

[Ludwig Cancer @Ludwig_Cancer]

Bert Vogelstein's work has shaped our understanding of the molecular basis of cancer. Now his team at Ludwig Johns Hopkins is racing to test a treatment to prevent #COVID19 deaths, even as it advances a powerful new technology for early cancer detection. https://t.co/dSD6hxOFNP

[Evgenij Fiskin @EvgenijFiskin]

Very excited to share our preprint introducing PHAGE-ATAC, a multiomic assay for combined protein and accessible chromatin readout using engineered bacteriophages via @10xGenomics droplet-based single-cell ATACseq. #PHAGEATAC https://t.co/3ShKuqxxVD

[McKnight Lab @McKnightLab_UO]

I'm raising money for Helping Laura and Katherine get through my death.. Click to Donate
https://t.co/NNO8Sko6o3

[Prof. Akiko Iwasaki @VirusesImmunity]

Are you confused about the role of type I interferons (IFN) in #SARS_CoV_2 infection?

Here is my speculation on what makes IFN-I helpful vs. harmful in #COVID19 patients - it comes down to timing and dose. A short thread.

All figures made by @BioRender & @annsea_park (1/n)

[Jiarui Ding @JiaruiDing]

@hippopedoid @MaxNoichl @notthatdsw @dribnet @leopd @gokcen @leland_mcinnes It seems that you considered the symmetry of the heart - the left and the right parts are connected, another parametrilization.