Andres Floto
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andresfloto.bsky.social
Andres Floto
@andresfloto.bsky.social
200 followers 160 following 1 posts
Prof. of Respiratory Biology & Co-Director Cambridge Centre for AI in Medicine, U of Cambridge. Studying Bacteria, Innate Immunity & Antibiotic Discovery, CF/Bronchiectasis/NTM using genetics & ML
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Reposted by Andres Floto
medcambridge.bsky.social
We're seeking 2️⃣ research associates to join Professor
@andresfloto.bsky.social's lab @vpd-hlri.bsky.social. You'll be part of a multidisciplinary team exploring antibiotic uptake, efflux & metabolism across multiple bacterial pathogens.

Apply before 27 October: buff.ly/SqfTX3A
Image of VPD-HLRI building and text reads: Research Associate x2 (Fixed Term), Explore opportunities at Medicine at Cambridge. Also includes logo of the University of Cambridge Department of Medicine.
October 15, 2025 at 2:22 PM
Reposted by Andres Floto
dmmjournal.bsky.social
Read our #DMMEditorsChoice highlight on the Research Article by Laetitia Pinte, @martavilagonz.bsky.social, @jamesnathanlab.bsky.social, @andresfloto.bsky.social, @pcicuta.bsky.social, @vallierlab.bsky.social and colleagues.

doi.org/10.1242/dmm....
Transverse section images of cultures from reporter line stained with Haematoxylin and Eosin.
July 22, 2025 at 12:59 PM
Reposted by Andres Floto
aweimann.bsky.social
New pre-print up introducing our bacterial protein language model Bacformer, creating a unified representation of entire bacterial genomes led by @macwiatrak.bsky.social www.biorxiv.org/content/10.1...
A contextualised protein language model reveals the functional syntax of bacterial evolution
Bacteria have evolved a vast diversity of functions and behaviours which are currently incompletely understood and poorly predicted from DNA sequence alone. To understand the syntax of bacterial evolu...
www.biorxiv.org
July 21, 2025 at 10:07 AM
Reposted by Andres Floto
aweimann.bsky.social
Check out Maciek's tweetorial for Bacformer with links to code, tutorials and blog post:
bsky.app/profile/macw...
macwiatrak.bsky.social Maciek Wiatrak @macwiatrak.bsky.social · Jul 21
💥 Excited to introduce Bacformer 🦠 - the first foundation model for bacterial genomics. Bacformer represents genomes as sequences of ordered proteins, learning the “grammar” of how genes are arranged, interact and evolve.

Preprint 📝: biorxiv.org/content/10.1...

🧵 1/n
July 21, 2025 at 10:11 AM
Reposted by Andres Floto
macwiatrak.bsky.social
💥 Excited to introduce Bacformer 🦠 - the first foundation model for bacterial genomics. Bacformer represents genomes as sequences of ordered proteins, learning the “grammar” of how genes are arranged, interact and evolve.

Preprint 📝: biorxiv.org/content/10.1...

🧵 1/n
July 21, 2025 at 9:56 AM
Reposted by Andres Floto
medcambridge.bsky.social
New project led by Professor @andresfloto.bsky.social‬ and Dr Sundeep Chaitanya Vedithi at @cam.ac.uk‬ has received £1.2m funding from @ukri.org‬ to develop point-of-care DNA sequencing for rapid detection of #AMR in leprosy across the Philippines.

Read more: buff.ly/9UYWUBR

@vpd-hlri.bsky.social‬
Photo of training in the Philippines and text reads: Cambridge-led project secures £1.2m from UKRI to pioneer same-day AMR diagnosis for leprosy in Southeast Asia Also includes logo of Department of Medicine, University of Cambridge
June 27, 2025 at 9:24 AM
Reposted by Andres Floto
medcambridge.bsky.social
One week left to join @andresfloto.bsky.social‬ 's team as a Postdoctoral Research Associate to develop new antibiotics against mycobacteria using permeability-enabled fragment-based #DrugDiscovery.

This 2-year fixed-term position is based in @cambridgebrc.bsky.social‬

🧬Apply by 12 June:
Postdoctoral Research Associate (Fixed Term) - Job Opportunities - University of Cambridge
Postdoctoral Research Associate (Fixed Term) in the Department of Medicine at the University of Cambridge.
buff.ly
June 5, 2025 at 10:02 AM
Reposted by Andres Floto
medcambridge.bsky.social
📢 Few days left to apply for our PhD studentship at @vpd-hlri.bsky.social 📢

Our 3-year programme supervised by @andresfloto.bsky.social explores chemical permeability and metabolism using #ML #GenAI to guide antibiotic drug discovery.

Apply by 15 April➡️ buff.ly/9oCo4ZJ
PhD Studentship - University of Cambridge
PhD Studentship - Understanding chemical permeability and metabolism in gram-negative organisms in the Department of Medicine at the University of Cambridge.
buff.ly
April 10, 2025 at 10:33 AM
Reposted by Andres Floto
medcambridge.bsky.social
Hear more from our Professor Eoin McKinney, @andresfloto.bsky.social & Mihaela van der Schaar on how we're unleashing the full potential of AI in health and medicine, and how Cambridge Centre for AI in Medicine puts us in the perfect position to be leaders in the field⬇️

cam.ac.uk/opinion-ai-a...
Opinion: AI can transform health and medicine
AI has the potential to transform health and medicine. It won't be straightforward, but if we get it right, the benefits could be enormous. Andres Floto, Mihaela van der Schaar and Eoin McKinney expla...
cam.ac.uk
April 7, 2025 at 3:50 PM
Reposted by Andres Floto
aweimann.bsky.social
Exciting PhD studentship opportunity in @andresfloto.bsky.social lab on understanding chemical permeability to advance antibiotic drug discovery www.jobs.cam.ac.uk/job/50800/. Combines experimental approaches with in silico screening and generative AI.
PhD Studentship - Understanding chemical permeability and metabolism in gram-negative organisms - Job Opportunities - University of Cambridge
PhD Studentship - Understanding chemical permeability and metabolism in gram-negative organisms in the Department of Medicine at the University of Cambridge.
www.jobs.cam.ac.uk
March 27, 2025 at 10:31 AM
Reposted by Andres Floto
science.org
#ICYMI: In a Science study, researchers present “Evo”—a #MachineLearning model capable of decoding and designing DNA, RNA, and protein sequences, from molecular to genome scale, with unparalleled accuracy.

Learn more: scim.ag/41bmK6u
Evo is a genomic foundation model that enables prediction and generation tasks from the molecular to genome scale. Using an architecture based on advances in deep signal processing, Evo is trained on 7 billion parameters with a context length of 131 kilobases at single-nucleotide resolution. Evo captures two fundamental aspects of biology—the multimodality of the central dogma and the multiscale nature of evolution.
December 3, 2024 at 9:26 PM