Samir Bhatt
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sjbhatt.bsky.social
Samir Bhatt
@sjbhatt.bsky.social
410 followers 68 following 11 posts
Professor at Imperial College London and University of Copenhagen. Academic council of Schmidt Science Fellows. Loves maths, biology and health!
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Reposted by Samir Bhatt
hdsai.sund.ku.dk
Great news for our future!

Professor Samir Bhatt @sjbhatt.bsky.social
is joining a new initiative to provide free access to advanced AI tools for pathogen analysis to close gaps in global preparedness to enable faster responses to future outbreaks.
🎉 Samir!
novonordiskfonden.dk/en/news/new-...
New platform to strengthen our global defence against future pandemics - Novo Nordisk Fonden
novonordiskfonden.dk
October 24, 2025 at 3:12 PM
Reposted by Samir Bhatt
mrc-outbreak.bsky.social
Read more about socioeconomic & temporal heterogeneity in SARS-CoV-2 exposure in England (May 2020 - Feb 2023) in this @science.org publication 👇
doi.org/10.1126/scia...

@imperialcollegeldn.bsky.social@imperialsph.bsky.social @thomrawson.bsky.social @sjbhatt.bsky.social @cm401.bsky.social
Socioeconomic and temporal heterogeneity in SARS-CoV-2 exposure and disease in England from May 2020 to February 2023
Deprivation and ethnicity influenced COVID-19 outcomes, revealing health inequalities and vaccine effectiveness in the pandemic.
doi.org
June 27, 2025 at 2:25 PM
Reposted by Samir Bhatt
cm401.bsky.social
We are excited to have a new paper published in Science Advances on Socioeconomic and temporal heterogeneity in SARS-CoV-2 exposure and disease in England — a great team effort led by @sjbhatt.bsky.social and Prof Neil Ferguson, in collaboration with the whole team.

www.science.org/doi/10.1126/...
Socioeconomic and temporal heterogeneity in SARS-CoV-2 exposure and disease in England from May 2020 to February 2023
Deprivation and ethnicity influenced COVID-19 outcomes, revealing health inequalities and vaccine effectiveness in the pandemic.
www.science.org
May 24, 2025 at 9:25 AM
Reposted by Samir Bhatt
tanjastadler.bsky.social
Thoughts on how AI can help prepare for the next pandemic - Thanks for having led this work @mugkraemer.bsky.social Joseph L.-H. Tsui Serina Y. Chang, @sjbhatt.bsky.social - it is an honour to be part of it!
February 20, 2025 at 1:29 PM
Reposted by Samir Bhatt
mugkraemer.bsky.social
AI is poised to accelerate understanding in infectious diseases, but its value needs to be demonstrated through close collaboration between research, industry, society, and policy.

Paper free to read: rdcu.be/eaxEw

Summary here: www.ox.ac.uk/news/2025-02...
Artificial intelligence for modelling infectious disease epidemics
Nature - This Perspective considers the application to infectious disease modelling of AI systems that combine machine learning, computational statistics, information retrieval and data science.
rdcu.be
February 20, 2025 at 10:13 AM
Reposted by Samir Bhatt
erictopol.bsky.social
New @nature.com
How #AI can play a pivotal role in future pandemic preparedness and mitigation, with caveats
nature.com/articles/s41...
a privilege to join this global collaborative effort led by Moritz Kraemer and Samir Bhatt
February 19, 2025 at 6:12 PM
Reposted by Samir Bhatt
ryanhisner.bsky.social
Looking forward to digging into this. Co-authors include
@mghafari.bsky.social & @mugkraemer.bsky.social.
"Large-scale genomic surveillance reveals immunosuppression drives mutation dynamics in persistent SARS-CoV-2 infections"
www.medrxiv.org/content/10.1...
www.medrxiv.org
February 16, 2025 at 5:37 PM
Reposted by Samir Bhatt
arxiv-stat-ml.bsky.social
Alessandro Micheli, M\'elodie Monod, Samir Bhatt
Diffusion Models for Inverse Problems in the Exponential Family
https://arxiv.org/abs/2502.05994
February 11, 2025 at 8:08 AM
Reposted by Samir Bhatt
mugkraemer.bsky.social
The rising threat of deadly diseases jumping from animals to humans

www.ft.com/content/a714...
The rising threat of deadly diseases jumping from animals to humans
Zoonotic pathogens very likely caused the last pandemic. Can we get better at halting them before the next one?
www.ft.com
January 10, 2025 at 11:13 AM
sjbhatt.bsky.social
An interesting paper out today www.nature.com/articles/s41...

As well known to many of us, tabular data is fiendishly hard, and whenever a new method comes out, boosting still beats it. Always, but this paper suggests deep learning is finally competitive.
Accurate predictions on small data with a tabular foundation model - Nature
Tabular Prior-data Fitted Network, a tabular foundation model, provides accurate predictions on small data and outperforms all previous methods on datasets with up to 10,000 samples by a wide margin.
www.nature.com
January 9, 2025 at 8:01 PM
Reposted by Samir Bhatt
smishra.bsky.social
Took us some time to get this out. Shows how one metric fits all can be dangerous. Thanks to all co-authors.
January 4, 2025 at 3:26 AM
sjbhatt.bsky.social
Stunting/wasting in children in Sub-Saharan Africa is a major public health concern. However, we show that identifying where the problem occurs can be difficult due to confounding with ethnicity.

journals.plos.org/globalpublic...
Ethnicity and anthropometric deficits in children: A cross-sectional analysis of national survey data from 18 countries in sub-Saharan Africa
Child anthropometric deficits remain a major public health problem in Sub-Saharan Africa (SSA) and are a key target of the UN Sustainable Development Goals (SDGs). The SDGs recommend disaggregation of...
journals.plos.org
January 3, 2025 at 8:21 AM
sjbhatt.bsky.social
New paper from Jacob and Frederik in the group. We have been interested in branching processes for a while now.

www.sciencedirect.com/science/arti...
Modelling the stochastic importation dynamics and establishment of novel pathogenic strains using a general branching processes framework
The importation and subsequent establishment of novel pathogenic strains in a population is subject to a large degree of uncertainty due to the stocha…
www.sciencedirect.com
December 9, 2024 at 1:13 PM