Robert Turnbull
@RobTurnbull
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Senior Research Data Specialist at the University of Melbourne
Melbourne
Joined March 2009
I was able to make a small contribution to this research in The Conversation: 'New linguistics research casts doubt on decades-old murder conviction'
theconversation.com
Stephen ‘Shorty’ Jamieson has been behind bars since 1988. Fresh research critically examines the confession that put him there.
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My PhD student Andy's poster about ChloroScan, a pipeline to learn about the world's algae through recovering plastid DNA from metagenomic samples: https://t.co/K6LZaSYITQ
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Algae drive the Earth’s oxygen production and marine food chains. My PhD student Andy’s preprint introduces ChloroScan, a tool that recovers plastid genomes from metagenomic data to uncover hidden biodiversity in environmental samples:
arxiv.org
Genome-resolved metagenomics has contributed largely to discovering prokaryotic genomes. When applied to microscopic eukaryotes, challenges such as the high number of introns and repeat regions...
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I’m working with Joey McCollum on an article about an Arabic translation of Paul’s letters. It differs strikingly from the Majority/Byzantine text. Even from the small Text und Textwert sample in Ephesians, it's clear the Arabic preserves a distinctive textual lineage.
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New paper out. 'Themeda: Predicting Land Cover Change Using Deep Learning' We trained AI on 33 years of satellite data to forecast land cover across northern Australia’s savannas.
spj.science.org
Accurate land cover change prediction is vital for informed land management, and deep learning offers a flexible solution capable of capturing complex ecological dynamics. This paper presents...
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I'm excited to work with Museums Victoria to digitise their collection of graptolite fossils: https://t.co/4sbvty5wBv
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Great to be part of the Computing and Information Systems poster session today at Melbourne Connect Innovation Week. The poster for our software to read herbarium specimen sheets is here: https://t.co/X0klvftTLX
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📢 Our new paper is out in Briefings in Bioinformatics. Much of DNA is made of “repeats” — hard-to-classify sequences that shape genomes. We introduce Terrier 🐾, an AI tool that classifies repeats across diverse species👉
academic.oup.com
Abstract. Repetitive DNA sequences underpin genome architecture and evolutionary processes, yet they remain challenging to classify accurately. Terrier is
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Our article on Hespi, an AI pipeline for extracting information from herbarium specimen sheets, is now published in The Conversation:
theconversation.com
Advances in imaging, text recognition and machine learning are transforming what can be done with collections of plants and fungi in herbaria and museums globally.
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🚀 Just out: our article on Hespi, an LLM pipeline for extracting information from herbarium specimen sheets, is the cover story of BioScience's August issue 🌿 https://t.co/btM28mq79q
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Just finished giving a seminar on writing tests for Python. Here are some memes I made for it — plus a Python package showcasing pytest, coverage and Github Actions: https://t.co/PRqi0DLlvs
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📣 Just published an article in the University of Melbourne's Pursuit about my research using phylogenetics to uncover the history of Arabic Gospel manuscripts:
pursuit.unimelb.edu.au
In biology, phylogenetics reconstructs evolutionary relationships. The same technique is revealing the history of the New Testament, says a University of Melbourne expert.
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Just out in BioScience: our new article on Hespi, an LLM-powered pipeline for extracting information from herbarium sheets. 🌿 https://t.co/btM28mq79q Watch this space for lots more developments in this area!
academic.oup.com
Abstract. Specimen-associated biodiversity data are crucial for biological, environmental, and conservation sciences. A rate shift is needed to extract dat
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🎉 Delighted to join Prof Christina Kreinecker and the @KU_Leuven team on the ERC BICROSS project, working on multilingual manuscripts using AI. Announcement:
theo.kuleuven.be
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Looking forward to giving guest lectures on LLMs for the Data Journalism course at the University of Melbourne over the next couple of days
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Mammograms are painful and only 2D. CT could be better—but needs high dosage to reduce noise. Using phase-contrast and AI denoising, we cut the dose 16× with no loss of image quality. We continue to work towards safe, 3D breast cancer screening. Preprint
arxiv.org
Breast cancer is the most frequently diagnosed human cancer in the United States at present. Early detection is crucial for its successful treatment. X-ray mammography and digital breast...
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Our paper "Potnia: A Python library for the conversion of transliterated ancient texts to Unicode" is now published in @JOSS_TheOJ 👉 https://t.co/oJ7Jr1kdoz Potnia currently supports Linear A, Linear B, Arabic, and Hittite cuneiform—with more Anatolian languages on the way
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I've got a little python package called llmloader to load LLMs in @LangChainAI just by the model name. I just updated it to include @MistralAI :
github.com
Loads a Langchain LLM by model name as a string. Contribute to rbturnbull/llmloader development by creating an account on GitHub.
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Excited to share Terrier 🧬✨🐶 — our new AI model to classify repetitive DNA. DNA repeats make up huge parts of genomes and play a key role in evolution, but are notoriously hard to classify. Preprint just released: https://t.co/LK0tcGB8i7
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Yesterday I had my book launch and I was honoured to have @TourEmily, @mbird12, Alexander Treiger, Stephen Carlson and Joey McCollum speak about the book. Here is a playlist of what they had to say:
youtube.com
The book launch of 'Codex Sinaiticus Arabicus and its Family: A Bayesian Approach'. For more information about the book, go to https://robturnbull.com or see...
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