Wolfgang Huber reposted
arXiv📈🤖 Estimating the local false discovery rate under an unknown symmetric null By Xiang, Fithian, Ignatiadis et al
Who's Who of AI
Wolfgang Huber
Why follow
Researcher with public evidence across AI business, AI research.
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- 4 past 30d
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- Latest signal
- 18h ago
Computational Biology and Statistics
Spatial Omics, Precision Oncology
R, Bioconductor, Open Science
https://www.huber.embl.de
Textbook: Modern Statistics for Modern Biology
https://www.huber.embl.de/msmb/ (with @sherlockpholmes.bsky.social)
What they're sharing
Estimating the local false discovery rate under an unknown symmetric null arxiv.org
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economist.com
Group Leader – AI in Biology embl.wd103.myworkdayjobs.com
Mass-produced science is coming. What happens to scientists? thetransmitter.org
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Can AI help us predict infectious disease outbreaks? youtube.com
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Articles & links
(am just confirming what the Economist reported previously: www.economist.com/science-and-...)
EMBL's new AI unit is recruiting. We are seeking a machine learning scientist to establish their independent research group bridging innovations in machine learning/AI with modern biology. embl.wd103.myworkdayjobs.com/en-US/EMBL/j...
Wolfgang Huber reposted
AI may soon enable researchers to generate high-quality science at a previously unimaginable speed. The effects for researchers will be as disruptive as industrial mass production was for artisan manufacturers, writes @kenneth-harris.bsky.social. #neuroskyence www.thetransmitt…
Wolfgang Huber reposted
Learn more about using AI at EMBL: youtu.be/MYesgIGRp3k?...
Their own posts
Recent commentary
One of the good things about the AI co-scientist brouhaha is that it makes us discuss what science *is*, and how to measure its value, impact, quality. — Questions that have been there all along, but many preferred to gloss over.
Really angry that now I cannot use 'epistemic' in my articles anymore, to not sound like an LLM. And that after already loosing the bullet points and em-dashes.
Am at an AI workshop today, and it sounds like the next bottleneck in the field is natural and computer scientists needing to catch up with their training in philosophy. Plato, Locke, Hume, Kant, Nietsche etc.
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