Tag Archives: fun

Bye Bye Lucy Vost! (Lucy Gone-st but not forgotten)

This month we said Goodbye to a few OG members of OPIG 🙁 among them was one of my favourites, Lucy! (should I apologise to the others?)

Lucy did some amazing work on improving output of generative models during her time in OPIG. One of her recent works involved increasing the plausibility of 3D molecular diffusion models using distorted training data. Check it out here.

Early in her PhD she worked on PointVS with Jack Scantlebury. PointVS is a machine learning scoring function that predicts protein-small molecule binding affinity by learning actual binding physics rather than dataset biases.

Word on the street is she also has some secret works in the making…

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AI Can’t Believe It’s Not Butter

Recently, I’ve been using a Convolutional Neural Network (CNN), and other methods, to predict the binding affinity of antibodies from their sequence. However, nine months ago, I applied a CNN to a far more important task – distinguishing images of butter from margarine. Please check out the GitHub link below to learn moo-re.

https://github.com/lewis-chinery/AI_cant_believe_its_not_butter

OPIG swag poll results

The results are in! 19 group members responded within 24 hours and rated 8 potential swag items on a scale from ⭐ to ⭐⭐⭐⭐⭐. Let’s see what they voted.

Overall results

First, let’s take a look at the average rating per item. People gave many stars to the coffee mug, socks, notebook, and hat.

Average Rating per Item
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