Rushin Gindra
@rushin_gindra
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PhD candidate @SaurLab at TranslaTUM and @helmholtz_ai, developing deep learning methods for Spatial Transcriptomics
Munich, Germany
Joined January 2017
RT @sophiajwagner: Excited to share TITAN, a multimodal foundation model for pathology trained on >330k WSIs, synthetic captions, and repor….
huggingface.co
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It’s a struggle to know what are cells and whether us as humans can delineate categories of them. This article explained it so well! Worth a read. And if you’re interested to know more about my research I‘d be glad to explain over a cup of Coffee! ☕️😉.
nature.com
Nature - Scientists have more information than ever on how cells differ — but they still resist easy grouping.
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"Those are some interesting facts! In my experience, a career in Informatics Research hasn't been as common in South Asian countries, possibly influenced by cultural factors. It's great to see things different today even if it’s a different field of science!" 🙌🤩.
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RT @TranManuel: I am thrilled to announce HistoGPT, a vision language foundation model that generates highly accurate pathology reports fro….
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Is it necessary to publish every single project as a python package? . I realise the importance of publishing projects as executable package, but I notice good projects breaking because of a cascade failure of out of date dependencies from other "small" packages. Any thoughts?.
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RT @LukasHeumos: Our paper presenting @scverse_team - our multi-institution open-source software project to address storage and analysis ne….
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RT @fabian_theis: Glad to see our review on best practices for single-cell analysis across modalities out @NatureRevGenet! In a big team ef….
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RT @JCashaback: Good luck to all the PhD students this week, where all their family try to understand what they do and ask when they will b….
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Can't agree more! Also, learning about biology "empirically" can be difficult + not reflect the real world scenario. We should focus more on interpretability and robustness!.
Nice 10-tips-article by @Benjamin_D_Lee et al @PLOSCompBiol on deep learning in biology. I like the opening of the box focus to „maximize interpretability“ - ideally we not only predict but want to learn about biology from our models.
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Now that we have a pretty cool documentation for sc data analysis best practices, it's time we step up the game and develop spatial data analysis tools. .
1/n Single-cell data analysis is complex with many tools to choose from - but which ones work best and should be used when? Led by @lukasheumos and @AnnaCSchaar, we wrote a free online book that aims to guide single-cell data analysts:
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RT @mertrory: Some advice I give my graduate students about how to keep on top of the literature in their field. A 🧵: 1/.
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RT @cs_sop_org: As PhD application deadlines approach, we are super excited to announce created by @zhaofeng_wu @a….
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RT @Aiims1742: Another glorious preprint from the @hopkinskimmel Convergence team (Dr. @ltkagohara et al): .Spatial transcriptomics of FFPE….
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As a computational researcher, I am curious to know how much of a variation an expert pathologist can observe in the cellular morphology with changes in it's genomic content? Is that morphological variation measurable?.@SaurLab would you like to share your thoughts?.
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Nice!!.
As we advance Microsoft Research's AI4Science initiative, we’re opening a lab in Berlin. Learn more from Chris Bishop, Technical Fellow & Director, & Frank Noé, our new Partner Research Manager, as they discuss the fifth paradigm of scientific discovery.
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RT @jbhuang0604: How to develop a productive routine?. When transiting from structured learning environments (e.g., courses) to unstructure….
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Looking forward to connecting with a few smart researchers and understand the interesting projects using AI at #HelmholtzAIcon2022.
@fabian_theis is introducing @helmholtz_ai at the Helmholtz Conference 2022 in Dresden and checking „state of you“ #helmholtzAICon
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Good research is an outcome of believing you have freedom at all hierarchical levels of a "thinking conscious & subconscious mind".
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RT @scverse_team: We are very excited to announce scverse (, a new consortium around the core Python packages for s….
scverse.org
Foundational tools for single-cell omics data analysis
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