Ross Burton @burtondatasci

Data scientist with a PhD in comp bio with a focus on cytometry bioinformatics. Passionate about data sci, biomed research, and biotech. Love all things AI 🤖 linkedin.com/in/burtonbiome… Cardiff, Wales Joined July 2018

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Ross Burton @burtondatasci

2 years ago

This really should be front and center of public debate right now. Thank you @FT for publishing such an important article. ft.com/content/03895d…

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Ross Burton @burtondatasci

3 years ago

🤖🤯🤖

Spark Lingonberry @sparkboinkboink

3 years ago

🤖🤯🤖

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Ross Burton @burtondatasci

3 years ago

Fixing typos for my PhD resubmission. Only LaTeX stands in the way between me and my PhD now.

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Ross Burton @burtondatasci

3 years ago

Want to do a PhD in #Bioinformatics with a focus on #CancerResearch and #cytometry? Great lab and great people, and we previously published in leading journals and presented our work at @ISAC_CYTO

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Shek Azizi @AziziShekoofeh

3 years ago

Excited to share Med-PaLM, a large language model aligned to the medical domain to generate safe and helpful answers. Our work advances SOTA in 7 medical question-answering tasks, including achieving 67% on MedQA USMLE improving prior work by >17%. arxiv.org/abs/2212.13138

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Ross Burton @burtondatasci

3 years ago

The future is now. ChatGPT is terrifyingly good.

Ethan Mollick @emollick

3 years ago

The future is now. ChatGPT is terrifyingly good.

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Ross Burton @burtondatasci

3 years ago

This is important. How can we trust our democratic processes if we can't even trust them to count.

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Ross Burton @burtondatasci

3 years ago

Me doing bioinformatics: I chose to use Python instead of R because it's easier to debug and I just prefer the syntax. Everyone: NO Me: ...here is a scientific reason I made up instead? Everyone: Yes good we like this illusion

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Ross Burton @burtondatasci

3 years ago

Just seen the new #seaborn docs for v0.12 with a declarative object API #python #dataviz ❤️ seaborn.pydata.org/tutorial.html

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Yvan Saeys @YvanSaeys

3 years ago

Interested in fast calculations of Shapley values to explain predictions for large datasets? Check out @ArneGevaert 's new paper on PDD-SHAP, where we show how to calculate them orders of magnitude faster using partial dependence compositions. Now at arxiv.org/abs/2208.12595