Malte Luecken
@MDLuecken
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Luckylab, Computational Biologist, Data integrator, Human Cell Atlasser, Single cell, Lung, Floorballer
Munich, Bavaria
Joined February 2018
Want to know more about the integrated Human Lung Cell Atlas in a condensed format? A Tweetorial by the amazing @SikkemaLisa, the driving force behind the HLCA.
We’re thrilled to finally share the integrated Human Lung Cell Atlas (HLCA), a single-cell reference atlas of 444 individuals, and 2.2M cells! https://t.co/iFTqRDucCc
@humancellatlas Here’s a tweetorial on how we built it, and, most importantly, how you can use it: (1/20)
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Helmholtz Munich to Advance AI Benchmarking With Three Newly Funded Projects 🚀 👉 https://t.co/sCuu5gHFRt
#HelmholtzMunich has secured funding in the Helmholtz Association’s first UNLOCK call for #AI benchmarking. With three newly approved projects, Helmholtz Munich
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Excited to be at #ETHZurich today, invited by @val_boeva to give a couple of talks on how we’re building and using @humancellatlas cell atlases, also towards use as prognostic models for precision medicine. What a guest house overlooking the city!
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This is a project based at Helmholtz Munich, the largest single-cell comp bio campus in Europe! We collaborate with clinicians at LMU clinic, experimental biologists at Helmholtz, and R&D scientists at Dai-ichi Sankyo. to find out more, check out the job ad or get in touch!
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Interested in longitudinal spatial (multi)omics applied to an unmet clinical need? Want to work in academia, together with industry to see your research translated into a drug development context? Join us to investigate early signatures of fibrogenesis https://t.co/hddILOK2cX
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We're looking to uncover the determinants of lung repair & regeneration: why can your lung fully heal after some infections, but not after others? Also: become part of the new Munich-Würzburg excellence cluster. Exciting opportunities 🙃
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Interested in longitudinal, cross-species, spatial perturbation data to study a relevant biomedical problem? Together with @AE_Saliba, we're looking to hire a PhD student to do just that. Opportunities for method development and real biomedical impact. Now apply to MUDS 2025.
🚨PhD position! Part of the @MunichDS Grad School Malte Luecken lab @MDLuecken and mine are recruiting a computational biologist to study lung repair using spatial transcriptomics. Want to know more? Contact us! Deadline: Sept 26
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Open Problems: Cracking Cell Complexity with Collective Intelligence 💡 More than 1,700 tools exist for single-cell analysis – but how do researchers know which method works best? #OpenProblems is a collaborative open-source platform designed to benchmark, improve and run
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A bit late, but excited to announce our new paper, "Defining and benchmarking open problems in single-cell analysis," a joint effort led by our team (@scottgigante, @DBBurkhardt ) at @Yale and the @fabian_theis and @MDLuecken at Helmholtz! 🚀 **Open Problems**, is a living,
nature.com
Nature Biotechnology - Defining and benchmarking open problems in single-cell analysis
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Join our "Advances in Single-Cell Technologies" meeting in December in Freiburg, co-organised with Marco Prinz and Katrin Kierdorf. Excellent line-up of speakers covering spatial technologies, lineage tracing, computational methods, and more. https://t.co/TjOS0UBrTr
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🚨 We’re hiring @sangerinstitute! Join us as a Postdoc or ML Scientist to build generative & foundation models for biology. 🧬 Spatial + single-cell omics 🧠 Diffusion, transformers, multimodal data 💊 Drug discovery via Open Targets Apply: Postdocs in computational biology
lnkd.in
This link will take you to a page that’s not on LinkedIn
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Looking forward to giving my talk on community-driven benchmarking via Open Problems tomorrow at the first Ascona benchmarking meeting. @markrobinsonca really knows how to put on a conference in this beautiful location! Half of my lab came along :).
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❗️11 days left to apply: Early Career Investigator in AI for Nucleic Acid Based Medicines at Helmholtz Munich & Roche.
🚀 Exciting Career Opportunity! Helmholtz Munich & Roche are looking for an Early Career Investigator in AI for Nucleic Acid Based Medicines 🧬💡Join our innovative team and help push the boundaries of medical research. 👉 Learn more and apply:
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When applying machine learning to human health data, it is not enough to just improve a metric by another percent. We have to go deeper. In our perspective in Nature Cell Biology, we discuss caveats and biases of human single-cell data analysis: https://t.co/BGdG1TlfdU 🧵 1/10
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Want to see more examples and details? Check out the full publication: https://t.co/BGdG1TlfdU Thanks to all co-authors, especially Theresa Willem, who did most of the work, @MDLuecken, who initialised the collaboration, and @fabian_theis. 9/10
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Looking for a PhD position? Interested in precision medicine in COPD and Asthma using single-cell genomics and machine learning? Looking for a good excuse to travel across Europe (and to Australia)? We are looking for PhD candidates!
respire-excel.eu
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🎉 New Year, New Opportunities! 🚀 We're excited to announce that we are recruiting a PI in Computational Biomedicine @CompHealthMuc @HelmholtzMunich . Join us in shaping the future of health. Apply here:
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A Review from @MDLuecken, @SikkemaLisa, @KHrovatin, @fabian_theis & colleagues provides a comprehensive and detailed discussion about how to build and use single-cell atlases. https://t.co/eeLjVDH7GB
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Advancing Tissue Mapping with #Spapros🚀 A team led by Prof. Fabian Theis #HelmholtzMunich has developed Spapros, a computational pipeline transforming spatial #transcriptomics. 👉 https://t.co/9cQSt5zpyP 💡By optimizing gene selection and probe design, Spapros enhances our
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Looking to build a high-quality single-cell reference atlas? Check out this fantastic review by @KHrovatin & @SikkemaLisa, guided by @MDLuecken! Packed with nuanced yet practical advice - from preprocessing to integration and downstream applications! 🚀
Excited to share our practical guide to building and using integrated atlases. This was an exciting 2 year journey, spearheaded by @KHrovatin and @SikkemaLisa from the @fabian_theis lab, for which @shitov_happens added a metadata parser to investigate trends in SCG datasets.
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