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Followers
161
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 Luke Zappia
📊 Post engagement
3
Avg engagement / post
1.9%
Engagement vs followers
Nov 2022
On Mastodon since
🔥 Top post: Excited that the {anndataR} 📦 publication is out https://academi · 4 likes + reposts
📊 Activity & format
Posting cadence
0.19 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 10 text · 2 image · 0 video.
Follower / following
0.7×
Follows 224 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
My quick wrap up of the recent @bioconductor 3.23 release focusing on single-cell and other things I'm interested in https://lazappi.id.au/posts/2026-05-12-bioconductor-3-23-wrap-up
If you work with Docker a lot, here is your friendly reminder to occasionally run `docker system prune`. I just freed up 417 GB so I have space to work again 🗑️.
First half of the thread here https://mastodon.au/@lazappi/114184104217169435 🤦
Second half of the thread here https://mastodon.au/@lazappi/114184150856084751 🤦
Big thank you to everyone who contributed to the study 🎉!
And thank you for reading 📖!
16/16
The project took 2.5 years from initial commit to publication. Some things could have been quicker but that’s not a complaint. I think that’s how long science takes and we should set realistic expectations, especially for junior researcher…
You can also find the code on GitHub https://github.com/theislab/atlas-feature-selection-benchmark and the data on figshare https://figshare.com/projects/Benchmarking_feature_selection_for_scRNA-seq_integration/214819.
14/16
I have expanded on these points in this blog post https://lazappi.id.au/posts/2025-03-15-feature-selection-benchmark/ and of course all the detail is in the paper https://doi.org/10.1038/s41592-025-02624-3.
13/16
We focused on feature selection methods, but we compared scANVI and Harmony/Symphony to our baseline of scVI. Feature selection methods performed similarly but scANVI scored higher overall and Symphony worse, particularly at unseen populat…
What about lineage-specific integration? Using subsets of the Human Lung Cell Atlas we saw poorer performance overall on lineages compared to the full dataset, particularly for unseen population detection, but a full study is needed to pro…
Do you need to select features in a batch-aware way? We didn’t see a clear effect of doing that so it depends on your dataset and computational resources.
10/16
We focused on feature selection methods, but we compared scANVI and Harmony/Symphony to our baseline of scVI. Feature selection methods performed similarly but scANVI scored higher overall and Symphony worse, particularly at unseen populat…
What about lineage-specific integration? Using subsets of the Human Lung Cell Atlas we saw poorer performance overall on lineages compared to the full dataset, particularly for unseen population detection, but a full study is needed to pro…
Do you need to select features in a batch-aware way? We didn’t see a clear effect of doing that so it depends on your dataset and computational resources.
10/16
🐘 Community & instance
Home server
mastodon.au
A Australia server — its members and audience skew toward that niche, so expect a community-aligned, engaged following.
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 3 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 (~1.9% 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
Bioinformatician, data scientist, software developer
Also @_lazappi_ and @lazappi.bsky.social
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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