Emily Hunt
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emily.space
Emily Hunt
@emily.space
Postdoc @univie.ac.at
Researches the Milky Way & star clusters with machine learning
Founded the Astronomy feeds (@astronomy.blue)

🏳️‍🌈 🏳️‍⚧️ (she/her), Ⓥ
Website: https://emily.space
GitHub: https://github.com/emilyhunt
the codebase is no longer clean after ✨ today ✨
January 14, 2026 at 4:18 PM
Pwahaha! Amazing!

I don't even think this work doesn't have a use (someone should do it I guess), but this paragraph is really something
January 13, 2026 at 11:12 AM
I love linux
January 12, 2026 at 9:32 AM
I need to explore more of central & eastern Europe now I'm in Austria, but this sure looks a lot more filled in than before my PhD!
January 7, 2026 at 1:36 PM
Yes, my wedding has a website

Yes, I have also included modelling of the expected temperature on the day

Yes, I did this by fitting a Bayesian model to 45 years of temperature data

Yes, the wedding website has an easter egg with a little link to find a writeup of how I got the numbers
December 29, 2025 at 8:47 PM
Before vs. after of just doing the classic 'pick a round number I like' vs. using an unbiased estimator to make your histogram:

☄️ #astrocode
December 19, 2025 at 9:24 AM
But like wtf is that mix of black and silver, just pick a colour my guy
December 18, 2025 at 6:06 PM
Incredible that we live in a world where the President of the United States freely gloats about the deaths of political adversaries, yet when RandomBlueskyUser952 writes that [redacted] was a [redacted]-hole they get permabanned and lose their job
December 16, 2025 at 7:01 AM
New paper led by Fabian Polnitzcky & with @sratzenboeck.bsky.social + @joaoalves.bsky.social: based on the ages of stars with infrared excess in Sco-Cen, it seems planet-forming disks last around twice as long as previous estimates suggest - giving twice as long for planets to form. 🔭☄️ #exoplanets
December 9, 2025 at 10:57 AM
It's an absolutely gorgeous and historical building that's annoyingly difficult to photograph as it sits in a lovely bit of woodland

This was it just after construction (with fewer trees)
November 19, 2025 at 10:48 AM
golden hour at the @univie.ac.at observatory
November 19, 2025 at 10:46 AM
These quotes from this article live rent-free in my head now: Meta saying their security is "industry-leading" when they're *eight years* behind on implementing a fix for a known issue 🫠
November 19, 2025 at 8:13 AM
their website seems pretty odd. For instance, that's... a lot of money to charge for some Zoom talks...
November 6, 2025 at 9:30 AM
my fiancée knows me well 🥺
November 4, 2025 at 6:44 PM
... the study is:
- some survey data
- conducted by economics profs (not: social scientists)
- does some batshit stats to reach any conclusion at all
- finds a tiny 0.4%-2.5% work time improvement!

... that's about as effective a productivity intervention as doing yoga once a week to sleep better
October 30, 2025 at 8:52 PM
Yet funnily enough, this claim goes almost completely uncited except for one (1!) link to a blog post (NOT a peer-reviewed paper!) by the Federal Reserve of St Louis (?)
October 30, 2025 at 8:52 PM
This is SO unhinged

These wild assertions made me think, hmmm surely you're going to put some effort into citing those
October 30, 2025 at 8:52 PM
wtf, my little blog post about uv is third on hacker news right now
October 30, 2025 at 1:57 PM
I recall now a good blog post about python tooling from a couple years back. Hatch is much less well developed: (excerpt from chriswarrick.com/blog/2024/01...)
October 24, 2025 at 2:52 PM
This was a really fun hybrid approach to try! My favourite part is that the final MCMC model fit is virtually as accurate as the *best possible* (>2000 trials) XGBoost model we tried, despite XGBoost having >1000× more trainable parameters than our little logistic function 🤯 🔭☄️ #astrocode
October 24, 2025 at 8:45 AM
So basically: using machine learning to make finding & fitting a traditional model much faster. 🔭☄️ #astrocode

Because the final model is just a simple logistic on 3 params, the model parameters are interpretable, like n_50 - the median number of stars a cluster needs to be detectable
October 24, 2025 at 8:40 AM
My favourite part of this paper is the model. In principle, 15+ different parameters impact the detectability of a cluster - that'd be complex! 🔭☄️ #astrocode

I got that down to just three (!!!) by using SHAP to say which were important, & PySR/symbolic regression to build intuition about models
October 24, 2025 at 8:40 AM
I mean, depending on how you measure it they already did 😭 about ~33% of the vote both times but a dip in popular vote. Only because of the UK's absurd voting system does he have a 'mandate' at all
October 24, 2025 at 7:13 AM
yes: i was playing minecraft when i named this package
no: i am not ashamed of the acronym
October 22, 2025 at 3:20 PM
Selection functions are REALLY important - that's the conclusion of our new paper on the open cluster selection function! 🔭☄️ #galactic

Even simple things (like a cluster's orbit) can cause a *major* boost to cluster detectability, biasing results not corrected for selection effects in *big* ways.
October 22, 2025 at 12:54 PM