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Dr Juulia Suvilehto

@juulia.bsky.social
257 followers 471 following 88 posts

Your friendly neighbourhood (data & neuro-) scientist. Interested in healthcare, big data, social interaction, tea, and cats. 🇫🇮 living in 🇸🇪

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Dr Juulia Suvilehto @juulia.bsky.social · 12/08/2026
What an interesting study on human ticklishness and excellent use of the emBODY tool!
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Seanan McGuire @seananmcguire.bsky.social · 03/08/2026
"I don't understand why you, a fantasy writer, don't appreciate the value of making bargains with the fae."
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Dr Juulia Suvilehto @juulia.bsky.social · 12/06/2026
Hear hear!
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Joe Uchill @joeuchill.bsky.social · 20/05/2026
I may not be able to make peptides, but I’m smart enough to know how to not name my product “neuro-bollocks”.
Simple peptide “Neurobolix” brand resolving strips.
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tomate 🍅 @jascha.ohai.social.ap.brid.gy · 03/03/2026
When someone says „Scientists do not want you to know“ you can dismiss everything from there on. Scientists want you to know. They are desperate that you know. They can’t shut up about what they found out and want you to know.
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Dr Juulia Suvilehto @juulia.bsky.social · 24/02/2026
Why do so many academics keep saying "let's try to submit this next week" when everyone can clearly see that the manuscript is not ready? I see many PhD students so stressed out about this when no one tells them "next week" deadline is aspirational, and not actually a real deadline. #AcademicSky
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Eiko Fried @eikofried.bsky.social · 07/01/2026
After 5 years of data collection, our WARN-D machine learning competition to forecast depression onset is now LIVE! We hope many of you will participate—we have incredibly rich data. If you share a single thing of my lab this year, please make it this competition. eiko-fried.com/warn-d-machi...
eiko-fried.com
WARN-D machine learning competition is live » Eiko Fried
If you share one single thing of our team in 2026—on social media or per email with your colleagues—please let it be this machine learning competition. It was half a decade of work to get here, especi...
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Dr Juulia Suvilehto @juulia.bsky.social · 22/10/2025
Great talk by @hollycummins.com at Lindholmen developer day. As a data person and as someone who used to work with healthcare this resonated a lot: "don't make human tell computer things the computer already knows". It is so key but so often neglected in practice (&definitely a thief of joy) #databs
A photo of a woman in front of a large presentation. On the slide she's presenting, it says 
The new paradigms
Joy has business value
Get rid of dumb work
If you can't get rid of the work, make computers do the work
Don't make humans tell the computer things the computer already knows
Get rid of flab from the programming model
Measure the important metric, not the one that's easy to measure
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Dr Juulia Suvilehto @juulia.bsky.social · 08/10/2025
Thank you everyone for your suggestions! This is how I ended up plotting my LLM system output vs human annotation vs LLM-as-a-judge evals. Extra thanks to @libbyheeren.bsky.social for boosting my original question. #databs #dataviz
Four bar plots arranged like a confusion matrix. Bars have two colors stacked, based on evaluator output. Plot shows that the evaluator (DSPy optimized + got-5-nano) flags many false positives and false negatives and does not flag that many true positives or true negatives.A barplot with three series of two bars each. The series are different evaluation frameworks: Phoenix, deepeval, and DSPy. Of the pairs of bars, the left one displays evaluation output when original rating was incorrect and the right one displays evaluation output when original rating was correct. The color of the bar shows evaluator output. The plot shows that DSPy (non optimized) performs best, ie tags most incorrect responses and does not tag many correct responses.
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Dr Juulia Suvilehto @juulia.bsky.social · 29/09/2025
Any references for good visualizations of LLM evals? We have orig system output (yes/no), a human annotator's y/n and a number of different y/n evaluations. The aim is to see how good our original system is and how much of the issues do the diff LLM evals catch. How would you visualize this? #databs
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Randy Au @randyau.com · 18/09/2025
#DataBS Conf 2025 preshow! We have two talks that we couldn't fit into the schedule but the speakers pre-recorded their talk for us to share before the main event next week! Both are really good and give me lots of excitement about what we'll see next week. ti.to/databsconf/d... <- free tix 🧵1/3
ti.to
DataBS Conf
"Data, Behind the Scenes" is a free-to-attend online-only, single track conference centered on the real stories of data work from the folks in the trenches. We’re not here for the latest AI hype, perf...
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Randy Au @randyau.com · 19/08/2025
This week on Counting Stuff, the #dataBS conference attendee registration form is open! Also an intro to the 6 of 14 talks we have confirmed! Tickets are free/pay-what-you-want and there's technically a limit on attendees so grab yours today! www.counting-stuff.com/databs-conf-...
counting-stuff.com
DataBS Conf attendee registration is open!
Also the first batch of confirmed speakers listed
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Data Behind the Scenes Conference @databsconf.com · 19/07/2025
The weekend is here! Perfect time to submit your #dataBS talk. We want your lessons-learned stories from data work, everything from "my data pipeline: the unsung hero" to "how we got that AI system working" to "what we learned when it fell over." Details and sign-up: bit.ly/dataBSconf-cfs
bit.ly
Data Behind the Scenes Conf - Call for Speakers
What This Conference Is About "Data, Behind the Scenes" is a (free) online-only, single track conference centered on the real stories of data work from the folks in the trenches. We’re not here for th...
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Randy Au @randyau.com · 16/07/2025
Hey #dataBS! Got some stories about how data is messily done to accomplish real things? Have you learned a painful lesson about how not to do something? Then you've got something to share and should submit a talk to the Data Behind the Scenes Conference! (Form closes July 31) bit.ly/dataBSconf-cfs
bit.ly
Data Behind the Scenes Conf - Call for Speakers
What This Conference Is About "Data, Behind the Scenes" is a (free) online-only, single track conference centered on the real stories of data work from the folks in the trenches. We’re not here for th...
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Randy Au @randyau.com · 01/07/2025
The #dataBS (Data Behind the Scenes) Conference Call for speakers is out! We're gonna do this!! All online, single track, free to attend. Come talk about your messy experiences doing data stuff. At work, personal projects, whatever. A space to commiserate about nerdy things! bit.ly/dataBSconf-cfs
bit.ly
Data Behind the Scenes Conf - Call for Speakers
What This Conference Is About "Data, Behind the Scenes" is a (free) online-only, single track conference centered on the real stories of data work from the folks in the trenches. We’re not here for th...
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Dr Juulia Suvilehto @juulia.bsky.social · 05/06/2025
Academics, get thee some fuck off skills. Marketable skills that can help you fuck off from academia and get employed elsewhere. I see folx do multiple postdocs because they don't know what else they could do. Don't let that be you - make sure you have the ability to fuck off #academia #AcademicSky
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Dr Juulia Suvilehto @juulia.bsky.social · 12/05/2025
I seem to re-learn this truth at regular intervals: if you're looking for an explanation of how something slightly niche works, find a master's thesis related to the topic. Students (at least in the nordics) are expected to explain the whole thing and not leave steps out (unlike academic articles).
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Dr Juulia Suvilehto @juulia.bsky.social · 08/04/2025
I was studying at the uni and we had programming courses where you could get support from the TAs on the course's own IRC channel. I used Google reader to keep up with my favorite blogs. There was so little fluff or ads on websites, it was just raw html and original, stellar content 🥺
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Kingfisher & Wombat @tkingfisher.com · 01/04/2025
Ok, this is the kind of April Fools joke I love. Read the extracts below!
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Matt Wallace @mattfnwallace.bsky.social · 25/03/2025
You will all stop everything you are doing and HAIL this CHONKY QUEEN
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Dr Juulia Suvilehto @juulia.bsky.social · 20/03/2025
My first #tidytuesday #pydytuesday where I look at how different palmtree species are armoured. I challenged myself to work in plotnine and it's been a learning curve for sure! Code available here github.com/jtsuvile/tid...
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Dr Juulia Suvilehto @juulia.bsky.social · 19/03/2025
Only dating advice I can give is to always check for implausible dates (like 1900-01-01 or anything >50 years into the future) as potential missing values in disguise. #dataBS #datasky
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Dr Juulia Suvilehto @juulia.bsky.social · 03/03/2025
I'm trying to use a metric_set with accuracy together with cal_validate_logistic() from {probably}. I'm having a hard time figuring out how to set the parameter 'truth' (which typically is 'target'). @topepo.bsky.social do you know if there is a vignette showing how to do this somewhere? 🙏 #dataBS
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Dr Juulia Suvilehto @juulia.bsky.social · 26/02/2025
I'm trying out a new thing in my collaboration with clinical researchers this time around: I created a Quarto document with a "results section" based on a dummy model and I'm using it to get buy-in for the metrics & plots before we actually fine-tune the model. Let's see if this works! #dataBS
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Carla Winston @carlawinston.bsky.social · 03/02/2025
Bluesky, we need this right now: see Umbrella, post Umbrella. www.youtube.com/watch?v=jPCJ...
youtube.com
Lip Sync Battle - Tom Holland
YouTube video by Comedy Central Latinoamérica
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Dr Juulia Suvilehto @juulia.bsky.social · 27/01/2025
This is something I see a lot - people who know very little about AI want to use it to do every thing. People who understand AI better are much more reserved. I do my best to disillusion folks in my organisation..
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Dr Juulia Suvilehto @juulia.bsky.social · 23/01/2025
I no longer live in the country I grew up in. Every time I come back home I'm floored by how easy dealing with folks (customer service, contractors) is when I a) get to speak my native language and b) actually understand the rules that the society operates by. Just 🤯
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Dr Juulia Suvilehto @juulia.bsky.social · 16/01/2025
"the methodology seems to work well enough that you can't rule it out immediately, *even if might be garbage for your particular task due to the specific intersection of quirks of your project.*" it's always the project specific quirks that get you.. #dataBS www.counting-stuff.com/labeling-thi...
counting-stuff.com
Labeling things by hand when everyone's trying not to
The hot stuff right now is labeling with LLMs, but y'know, maybe consider not?
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Anna Landre @annalandre.com · 07/01/2025
Do you know a UK-based wheelchair user who works in a lab and would be willing to user-test our prototype of what is believed to be the first-ever lab coat adapted for wheelchair users? Please share far & wide! Interest form: forms.office.com/e/66FhcQjqRT More info: www.ucl.ac.uk/ucl-east/new...
Two photos of Anna, a young white woman using an electric wheelchair, wearing a blue lab coat that fits her well with tables and dry-lab equipment in the background. Text reads: "A team of researchers and designers led by UCL is looking for wheelchair users working in wet lab environments to user-test what is believed to be the first-ever prototype of a lab coat adapted for wheelchair users."
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Dr Juulia Suvilehto @juulia.bsky.social · 30/12/2024
I gave a talk earlier in the fall about AI in healthcare, talking about the hype and the challenges and where does that leave us. My talk focuses on a Nordic single-payer style healthcare but a lot of it generalises to different healthcare systems youtu.be/qqcYHWlCKkk?... #healthcare #dataBS
youtu.be
Juulia Suvilehto - AI in healthcare - what is hype and what is real?
YouTube video by Øredev Conference
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Dr Juulia Suvilehto @juulia.bsky.social · 13/12/2024
My colleagues are impressed by my shitposting game on the designated shitposting teams channel when really I just repost the best of #dataBS
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Dr Juulia Suvilehto @juulia.bsky.social · 02/12/2024
...and just like in Harlow's monkey experiments, IRL interaction with conspecifics is much, much better than either of these
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Dr Juulia Suvilehto @juulia.bsky.social · 25/11/2024
Playing around with the new Mall package mlverse.github.io/mall/ by @theotheredgar.bsky.social. Such a cool concept! But I cannot seem to figure out how to make my own data frame (CSV imported via polars) into the correct data type (which I suspect is MallFrame). Any tips? #dataBS
mlverse.github.io
mall
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Dr Juulia Suvilehto @juulia.bsky.social · 21/11/2024
Loving the @nhsrcommunity.bsky.social #RPySOC conference and would warmly recommend it to all of us health/hospital #dataBS people. It's my second year following it online and the useful info / unit of time ratio is the highest I've found in this space nhsrcommunity.com/conference24...
nhsrcommunity.com
conference24 – NHS-R Community Quarto website
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John Kutay @jkxosound.com · 08/11/2024
"If I could also get added to the PR before you refactor the schema design that would be great"
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Dr Juulia Suvilehto @juulia.bsky.social · 05/11/2024
Coming from academia (and #RStats) I'm used to building ny analyses with functions and pipelines. Reading Fluent Python has me thinking that maybe custom classes could be better for readability. What do you do #databs peeps - functions all the way or custom classes?
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e.w. niedermeyer @niedermeyer.online · 30/09/2024
This is the fundamental paradox of AI: if it's actually helping you, there is no way to know when it is no longer helping you. Put another way: if you can supervise it effectively enough to catch its mistakes, you probably didn't need it in the first place.
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McSweeney's @mcsweeneys.net · 30/09/2024
"Google Translate can now render your college administrator’s opaque prose into plain (if terrifying) English." www.mcsweeneys.net/articles/fac...
mcsweeneys.net
Faculty, Rejoice: Gmail Can Now Translate “Deanspeak”
We are thrilled to announce that Google Translate has recently added “Deanspeak” to its suite of language-detection tools. In addition to offering ...
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P(aul) Frazee @pfrazee.com · 20/08/2024
types of data structures in computer science: FIFO: preserves order for queues LIFO: stack behavior, common in programming languages FAFO: the novel data structure that one guy on the team who seems to just show up when he feels like it invented which has a bunch of "DO NOT CHANGE" comments
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Scott Barolo @sbarolo.bsky.social · 11/10/2023
my Likert Scale ⭐️⭐️⭐️⭐️⭐️: Lovert ⭐️⭐️⭐️⭐️: Likert ⭐️⭐️⭐️: Whatevert ⭐️⭐️: Dislikert ⭐️: Hatert
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rahaeli @rahaeli.bsky.social · 18/07/2023
My One True Character Archetype is the cranky asshole who looks around and goes "fuck, either I handle this or someone who's gonna fuck it up worse than I will is gonna, god fucking dammit"
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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 25/08/2023
I told a colleague that logistic regression is AI and they got mad at me, so I made a chart. Find yourself. I am "Tinder is AI". (I posted this on that other site and a friend complained "y u no skeet this too!?!!?" so here you go)
Table with 3 rows and 3 columns.
Rows: (1) Algorithm purist (mimic human cognition), (2) Algorithm netural (learns & generalizes), (3) Algorithm rebel (method irrelevant)
Cols: (1) Ability purist (exceeds human ability), (2) Ability neutral (makes task easier), (3) Ability rebel (usefullness questionable)
Cells:
[1,1] "Terminator is AI" [1,2] "C3PO is AI" [1,3] "WALL-E is AI"
[2,1] "AlphaGo is AI" [2,2] "XGBOOST is AI" [2,3] "Tinder is AI"
[3,1] "A metal detector is AI" [3,2] "Bubble sort is AI" [3,3] "Magic 8 Ball is AI"
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