Francesco Asnicar
@fasnicar.bsky.social
720 followers 570 following 16 posts
Researcher at Dept. CIBIO (Univ. of Trento, Italy), previously postdoc @cibiocm.bsky.social, love music and play keyboards.
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fasnicar.bsky.social
🧬🖥️ Postdoc positions available SOON!!
Looking for researchers with strong computational skills (programming essential) to work on microbiome & phylogenetics projects.
📅 Start on Nov 1, 2025 (flexible)
📍 Trento, Italy
DM me for details or share!
#postdocjobs #microbiome #metagenomics #phylogenetics
fasnicar.bsky.social
Now @mireiavallesc.bsky.social presenting microbiome transmission at the #BCNmicrobiome
fasnicar.bsky.social
Heading to the Barcelona Debates on the Human Mocrobiome 2025 🇪🇸

I'll be talking about Microbiome-Diet and Cardiometabolic Health.
📍 CosmoCaixa
📆 June 26
⏰ 11:00
🔗 www.bcnmicrobiome.com

Come say hi if you're around! #bioinformatics #microbiome
fasnicar.bsky.social
Heading to Vienna this weekend! 🇦🇹

Thrilled to be talking about ML in bacterial genomics & #metagenomics at #ESCMIDGlobal 2025.
📍 Hall 4
📅 Monday (14/04)
⏰ 16:15 CEST

Come say hi if you're around! #bioinformatics #microbiome
cc @escmid.bsky.social
fasnicar.bsky.social
What I believe was surprising was that how much a single bacteria species is explaining (and predicting) a single food item (coffee), among all the complexities we have in microbiome studies. And these predictions were not presence/absence but rather with relative abundance values. (2/2)
fasnicar.bsky.social
Thanks Gabriele for your interest in our work. Indeed, we don't really go into the clinical/medical relevance of Lawsonibacter here. (1/2)
Reposted by Francesco Asnicar
microbiomevif.bsky.social
It's a new year!
...and a new #MVIF program is out! 🤩

Registration here: cassyni.com/s/mvif-35

⭐️MicroTalks:
Minna Chang
@hariszaf.bsky.social

⭐️ Keynote:
@chmoei.bsky.social

⭐️Selected talks:
Pratyay Sengupta
@fatimacpereira.bsky.social
@cladigar.bsky.social
MVIF january program
fasnicar.bsky.social
Ciao @mikeneugent.bsky.social from the both us! (unfortunately mine is from the vending machine, the fastest one I could get here!)
Reposted by Francesco Asnicar
natureportfolio.nature.com
Coffee consumption is associated with the presence and abundance of a specific member of the human gut microbiome, Lawsonibacter asaccharolyticus, and changes to the plasma metabolome, according to a paper in Nature Microbiology. https://go.nature.com/3CIl4as 🧪
This is figure 1, which shows the consistent global links between coffee consumption and the human gut microbiome.
fasnicar.bsky.social
Fantastic event in Goiania! Beautiful audience and nice people! Had a great time, thanks Joao for the invitation and all the organizers for the organization!
fasnicar.bsky.social
Would love to be included if possible, thanks a lot
fasnicar.bsky.social
Be aware of common pitfalls when using ML in microbiological studies (Box 2) and hopefully, the simplified checklist when reading, reviewing, or applying ML (Box 3) can help in better understanding the best strategies to use and their evaluation.

6/6
fasnicar.bsky.social
Be careful of overfitting, feature selection and testing within the same data, which could lead to overoptimistic within-dataset and poor performances cross-cohorts.

5/6
fasnicar.bsky.social
Several strategies are available to accurately estimate ML performances and depend and the data/cohorts availability.

4/6
fasnicar.bsky.social
Dimensionality reduction and clustering are two of the most used algorithms in microbiology, and different algorithms will have different results and visualization of high-dimensional data is also a non-easy task.

3/6
fasnicar.bsky.social
A ML workflow involves many small details: difficult to represent in a simplified schema as most are also algorithm-dependent. However, having a clear idea about the process can better help understand how several steps (samples, features, training, prediction) connect.

2/6
fasnicar.bsky.social
I'm thrilled to share our team's effort towards enabling ML usage and evaluation for microbiologists. Here goes the summary thread 🧵

1/6