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Machine Learning in Science

Machine Learning in Science

🔄 Data last refreshed 10 days ago
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Followers
2.6K
Account age
1 yrs
🧰 Free analysis for Machine Learning in Science
🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

Known for

📊 Post engagement

26
Avg engagement / post
1%
Engagement vs followers
Nov 2024
On Bluesky since

🔥 Top post: Our work on training biophysical models with Jaxley is now out i · 73 likes + reposts

📊 Activity & format

Posting cadence
0.36 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 8 text · 4 image · 0 video.
Follower / following
13×
Follows 197 back. A strong ratio — an audience that follows them, not a follow-for-follow network.

Recent posts

View on Bluesky ↗
🔥 Top post Our work on training biophysical models with Jaxley is now out in @natmethods.nature.com. Led by @deismic.bsky.social, with @philipp.hertie.ai, @ppjgoncalves.bsky.social & @jakhmack.bsky.social et al. Paper: www.nature.com/articles/s41... ★ 73
Mackelab is at @icmlconf.bsky.social in Seoul 🇰🇷 Two papers on simulation-based and model-based scientific discovery this year. Come say hi! ★ 6 We congratulate @matthijspals.bsky.social on his successful PhD defense! During his time in the Mackelab, he used RNNs to link neural activity with underlying mechanisms. Now he moved on to a Postdoc position in @durstewitzlab.bsky.socia… ★ 39 New paper: We recast automated scientific model discovery with LLMs as Bayesian inference! LLMs write code and carry domain knowledge, great for proposing models. The key idea: discovery is inference, not just generation. What distributio… ★ 16 Come and work with us! We have a PostDoc position at the intersection of ML and Biogeoscience within the TERRA excellence cluster @terra-cluster.org, w/ Senckenberg. Be part of a great ML and Geo community and use ML to investigate fire a… ★ 11 @mackelab.bsky.social is at @cosynemeeting.bsky.social #cosyne2026 in Lisbon with two posters presented by PhD students from the lab. Thread below on the projects 👇 ★ 10 The PhD graduation streak continues with Dr. Janne Lappalainen (@lappalainenjk.bsky.social) and Dr. Auguste Schulz (@auschulz.bsky.social) successfully defending in January and February. Congratulations! ★ 20 Happy 2026 everyone! Two freshly minted PhDs 🧑‍🎓emerged from our lab at the end of last year. We congratulate Dr Julius Vetter (@vetterj.bsky.social) and Dr Guy Moss (@gmoss13.bsky.social)! Here seen celebrating with the lab 🎳. 1/3 ★ 21 Our group is at NeurIPS and EurIPS this year with four papers and one workshop poster. If you are either curious about SBI with autoML, with foundation models, or on function spaces or about differentiable simulators with Jaxley, have a lo… ★ 28 We are looking for a Research Engineer (E13 TV-L) to work at the intersection of #ML and #compneuro! 🤖🧠 Help us build large-scale bio-inspired neural networks, write high-quality research code, and contribute to open-source tools like jax… ★ 17 MackeLab has grown! 🎉 Warm welcome to 5(!) brilliant and fun new PhD students / research scientists who joined our lab in the past year — we can’t wait to do great science and already have good times together! 🤖🧠 Meet them in the thread 👇 … ★ 23 Simulation-based inference (SBI) has transformed parameter inference across a wide range of domains. To help practitioners get started and make the most of these methods, we joined forces with researchers from many institutions and wrote a… ★ 44

🦋 Handle & authenticity

Bluesky handle
@mackelab.bsky.social
A default .bsky.social handle — genuine, but not domain-verified. Confirm identity before a high-value deal.
On Bluesky since
Nov 2024
Joined after Bluesky opened to the public — a settled account with a real history.

💡 Facts

🗓️Joined Bluesky in 2024 — 1 year ago.
👁️Averages 26 views per post.
📤Posts about 0.4× per week.

🕵️ Fake follower check

Estimated
81/100
Excellent Credibility score
97%
Real Real audience
Low Fake-follower risk
High Data confidence
  • Est. 97% real, active audience · Low fake-follower risk.
  • Strong engagement (~1.0% of followers engage each post) — an active, real audience.
  • Organic base — far more followers than accounts it follows.

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

We build probabilistic #MachineLearning and #AI Tools for scientific discovery, especially in Neuroscience. Probably not posted by @jakhmack.bsky.social. 📍 @ml4science.bsky.social‬, Tübingen, Germany

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