Dr Liam Brierley
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liambrierley.bsky.social
Dr Liam Brierley
@liambrierley.bsky.social
Virologist, statistician, and science presenter.
Runs @vibelab.co.uk

Research Fellow at @cvrinfo.bsky.social
Ambassador for @royalstatsoc.bsky.social

Five parts emerging virus epi, two parts R/compsci, ten parts caffeine.
he/him 🏳️‍🌈♾
In two weeks! Live stand-up comedy from 100% real in-the-flesh researchers and scientists including me (am real last time I checked). This time we got everything from Scottish philosophy & saintspeak to astrophysics & mystery diseases!

www.thestand.co.uk/performance/...

👀 discount code: BRIGHTCLUB
October 27, 2025 at 8:03 PM
This stack is able to correctly predict zoonotic potential of sequences in entirely unseen subtypes with AUC=0.95 and F1=0.90, a level of generalisability that is not often seen for machine learning host predictors.

Interestingly, it flags some duck H4 viruses from Americas as having distinct risk.
September 18, 2025 at 1:39 PM
Training on 12 feature sets over each of 8 segments, we find protein properties are usually best at estimating zoonotic potential from a single segment.

But what about whole genomes? We can combine the best models in a single trained meta-learner (or "stack"), that draws on info from all of them!
September 18, 2025 at 1:39 PM
We extracted ~19000 influenza sequences from birds and ~600 zoonotic sequences from humans (only non-seasonal subtypes).

Before training, we remove redundancy by grouping similar sequences into clusters. This is important to reduce bias, as most come from just a few subtypes like H7N9 and H5N1.
September 18, 2025 at 1:39 PM
Lots of ML models can predict human spillover. However for influenza this task is harder because of a) genome segmentation, and b) strong signal within subtype or lineage.

We planned a model training architecture to handle this, ensuring predictions are rooted in virus biology, not shared ancestry.
September 18, 2025 at 1:39 PM
If I had a nickel for every consecutive year we've had janky 3D-rendered big cats, I'd only have two nickels but it's weird it's happened twice.
May 16, 2025 at 12:09 PM
I'm only able to join ViBioM virtually (thank you @evbc.bsky.social for making this available!!) but some fantastic talks from the @systemsvirology.bsky.social lab who are innovately retraining protein language models to infer virus evolution, antigenicity, and epi! おめでとうございます
May 15, 2025 at 2:30 PM
Plane crashes, you say...
February 2, 2025 at 11:42 AM
Scicomm update #2!

Bright Club Glasgow is looking for performers for our scientifically-hilarious comedy show in March!
Great way to develop new outreach skills and rethink how you talk research!

Get in touch: www.facebook.com/brightclubgl...
January 30, 2025 at 6:24 PM
Scicomm update #1!

🛡️ Why did the military protect against dangers they never saw?
🔍 Can you trust evidence that seems to solve the murder trial?
🥪 And how risky is a bacon sandwich??

Find out in my free #stats-comm show in a week via Glasgow Humanists, Sun 9th Feb! www.meetup.com/glasgow-huma...
January 30, 2025 at 6:15 PM
Kind of wild that we're basically at tier 5 of the Sid Meier's Alpha Centauri tech tree already
January 29, 2025 at 6:31 PM
Rocky Horror and adult lunchables, Happy Christmas to me
December 25, 2024 at 12:28 AM