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Followers
221
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 Max Joseph 🛰️ 🌲
Known for
11 views
I love working with data engineers for many reasons, one being that they out-meme the rest of our team by a large margin
3 views
Here's a shot from Prof. Rebecca Hutchinson's awesome talk "Spatial Issues and Approaches in the Machine Learning Pipeline for Species Distribution Modeling", where she sets up a train/test partitioning approach that matches the deployment use case of the model, and combines the power of:
1. spatial partitioning into training/test sets, and
2. importance weighting to account for covariate shift b
2 views
Lots of great talks at the #TWS2022 AI for wildlife symposium yesterday.
Here's Daniel Fink from the Cornell Lab of Ornithology talking about using double machine learning to deal with sampling-related confounding of population trends in eBird data.
Preprint here: https://arxiv.org/abs/2210.15524
📊 Post engagement
6
Avg engagement / post
2.7%
Engagement vs followers
Nov 2022
On Mastodon since
🔥 Top post: 👋 Hey folks! I'm a scientist working on forest carbon using Bay · 26 likes + reposts
📊 Activity & format
Posting cadence
0.21 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 8 text · 4 image · 0 video.
Follower / following
4.3×
Follows 52 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
Want to hack on some forest carbon estimation this spring?
Check out: https://esiil.org/forest-carbon-codefest
Good post on responsibility vs. authority https://rabernat.medium.com/responsibility-and-authority-academia-vs-startup-18524488e9ac
How does one learn about fundamental limits to predicting future events?
e.g., if you wanted to upper bound predictability for lightning strikes over a one year time horizon, how would you go about doing it?
Just spent an hour diagnosing nan loss.
Learning rate was 1e4 instead of 1e-4 🤦♂️
Day 17 post Halloween: my candy stash remains undiscovered. The wrappers continue to pile up.
Great read on storytelling and maps: https://mindsbehindsmaps_newsletter.ck.page/posts/geospatial-has-a-storytelling-problem
This quote in particular caught my eye:
"The reason we don't see that many data scientists put together this leve…
There exist at least two types of file drawer pain:
"I have an idea, but don't know whether it was attempted and turned out to be a bad idea".
and also
"This method got published but it turns out it doesn't actually work (optimistically:…
I love working with data engineers for many reasons, one being that they out-meme the rest of our team by a large margin
Here's a shot from Prof. Rebecca Hutchinson's awesome talk "Spatial Issues and Approaches in the Machine Learning Pipeline for Species Distribution Modeling", where she sets up a train/test partitioning approach that matches the deployment…
Lots of great talks at the #TWS2022 AI for wildlife symposium yesterday.
Here's Daniel Fink from the Cornell Lab of Ornithology talking about using double machine learning to deal with sampling-related confounding of population trends in …
I don't have a real cat for #caturday but you bet I can still make cat pictures using stable diffusion.
Here's "a giant fuzzy cat kaiju style fighting godzilla among skyscrapers with scared citizens running away in the foreground"
I love working with data engineers for many reasons, one being that they out-meme the rest of our team by a large margin
Here's a shot from Prof. Rebecca Hutchinson's awesome talk "Spatial Issues and Approaches in the Machine Learning Pipeline for Species Distribution Modeling", where she sets up a train/test partitioning approach that matches the deployment…
Lots of great talks at the #TWS2022 AI for wildlife symposium yesterday.
Here's Daniel Fink from the Cornell Lab of Ornithology talking about using double machine learning to deal with sampling-related confounding of population trends in …
I don't have a real cat for #caturday but you bet I can still make cat pictures using stable diffusion.
Here's "a giant fuzzy cat kaiju style fighting godzilla among skyscrapers with scared citizens running away in the foreground"
🐘 Community & instance
Home server
ecoevo.social
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
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 6 views per post.
📤Posts about 0.2× per week.
🕵️ Fake follower check
Estimated80/100
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 (~2.7% of followers engage each post) — an active, real audience.
- Established account (3+ years old).
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
Working on machine learning + Earth observation
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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