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davidselby.bsky.social
Data science researcher working on applications of machine learning in health at DFKI, getting the most out of small data. Reproducible #Rstats evangelist and unofficial British cultural ambassador to Rhineland-Palatinate 🇩🇪 https://selbydavid.com
8 posts 62 followers 189 following
Getting Started
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Just published: 'Had enough of experts? Quantitative retrieval from large language models' Can LLMs, having read the scientific literature, offer us useful numerical info to help fill in missing data and fit statistical models, like a real human expert? We investigate: doi.org/10.1002/sta4...

submitted 3 days ago • 0 comments

New blog post: on all the English I have had to learn since moving to Germany 🇬🇧 🇩🇪 selbydavid.com/2025/03/13/d...

submitted 7 days ago • 0 comments

New blog post: Alternatives to @overleaf.com for #rstats, reproducible writing and collaboration selbydavid.com/2025/03/04/o...

submitted 13 days ago • 0 comments

New online! Beyond the black box with biologically informed neural networks

submitted 16 days ago • 0 comments

Thrilled to share our latest publication in @natrevgenet.bsky.social. We explore how deep learning models infused with prior knowledge—biologically-informed neural networks or BINNs—offer better predictive accuracy and interpretability in multi-omics data analysis. www.nature.com/articles/s41...

submitted 16 days ago • 0 comments

Paper just accepted in Stat! Can LLMs replace experts as sources of numerical information, such as Bayesian prior distributions for statistical models, or filling in missing values in tabular datasets for ML tasks? We evaluate on applications across different fields. arxiv.org/abs/2402.07770

submitted 28 days ago • 0 comments

How might one redesign this data visualization to avoid using much-maligned 'plunger plots'? #visualisation From www.nature.com/articles/s41...

submitted 69 days ago • 0 comments

Pleased to present our poster at #NeurIPS2024 workshop on Bayesian Decisionmaking and Uncertainty! 🎉 Our work explores using large language models for eliciting expert-informed Bayesian priors. Elicited lots of discussion with the ML community too! Check it out: neurips.cc/virtual/2024...

submitted 90 days ago • 0 comments

Excited to share our new preprint: Visible neural networks for multi-omics integration: a critical review! 🌟 We systematically analyse 86 studies on biologically informed neural networks (BINNs/VNNs), highlighting trends, challenges, interesting ideas & opportunities. www.biorxiv.org/content/10.1...

submitted 90 days ago • 0 comments