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Followers
532
Account age
3 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🧰 Free analysis for Cheng Soon Ong
📊 Post engagement
2
Avg engagement / post
0.4%
Engagement vs followers
Nov 2022
On Mastodon since
🔥 Top post: This discussion with the managing director of Cambridge Universi · 4 likes + reposts
📊 Activity & format
Posting cadence
0.28 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 12 text · 0 image · 0 video.
Follower / following
0.5×
Follows 968 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
A set of more than 100 problems, in AI for science, articulated for a VC target audience.
https://encode-challengescape.pillar.vc/
I hope this endowment for open source maintainers takes off! Nominate your favourite project for a $5k grant.
https://endowment.dev/
I'm preparing for a PhD forum panel discussion at #AJCAI, and recalling the nice guide for ML conferencing that Khimya and I wrote for #AISTATS in 2025.
https://virtual.aistats.org/Conferences/2025/BlogPost_1
If you like our #mathematics for #machinelearning textbook, and want a hard copy, Cambridge is providing a 30% discount for #NeurIPS2025.
Of course you can buy other books, and you can also download the legally free PDF from our website at…
I am so pleased to have been invited to participate in a cross disciplinary team that spans technical machine learning experts as well as the breadth of humanities and social sciences. And the best part is that we studied ourselves. Hopefu…
We can use active generation to propose better enzymes, which we then validated experimentally.
It is really nice when a cross-disciplinary international collaboration pays off, in this case with a practical industry partner.
https://www.b…
An 80 page description of flow matching, with pytorch examples. From Meta's FAIR lab. #machinelearning
https://arxiv.org/abs/2412.06264
We are delighted to announce the Workshop on AI/ML in Computational and Experimental Biology (AIML-CEB 2025), to be held in conjunction with the Australasian Joint Conference on Artificial Intelligence (https://ajcai2025.org/).
The worksho…
The class action against Anthropic has a single website, where you can search whether your book is on LibGen or PiLiMi, and file your claim with the legal firm that is putting the case together.
https://www.anthropiccopyrightsettlement.com/
The third doughnut is now peer reviewed at Nature. Andrew Fanning and Kate Raworth
https://www.nature.com/articles/s41586-025-09385-1
How do we govern the commons of open source infrastructure? The distribution channels are not free...
https://openssf.org/blog/2025/09/23/open-infrastructure-is-not-free-a-joint-statement-on-sustainable-stewardship/
🐘 Community & instance
Home server
masto.ai
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
✅ Link-verified
Verified link
Proved ownership of a website linked on their profile — Mastodon's green-check verification, a real identity signal rather than a paid badge.
On Mastodon since
Nov 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.
💡 Facts
🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 2 views per post.
📤Posts about 0.3× per week.
🕵️ Fake follower check
Estimated75/100
Good
Credibility score
92%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 92% real, active audience · Low fake-follower risk.
- Engagement (~0.4% of followers engage each post) is around typical for Mastodon.
- Verified account.
- Established account (3+ years old).
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
Curious.
Researching #MachineLearning for Scientific Discovery. #ml4science #ai4science
I choose #OpenSource and #OpenScience .
Solving problems in #LifeScience #Genomics #RadioAstronomy
Read our book on Mathematics for Machine Learning at https://mml-book.com
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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