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Samir Bhatt

@sjbhatt.bsky.social
422 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 - Health Data Science & AI, University of Copenhagen @hdsai.sund.ku.dk · 24/10/2025
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-...
novonordiskfonden.dk
New platform to strengthen our global defence against future pandemics - Novo Nordisk Fonden
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Reposted by Samir Bhatt
MRC Centre for Global Infectious Disease Analysis @mrc-outbreak.bsky.social · 27/06/2025
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
doi.org
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.
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Reposted by Samir Bhatt
cm401.bsky.social @cm401.bsky.social · 24/05/2025
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/...
science.org
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.
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Reposted by Samir Bhatt
Tanja Stadler @tanjastadler.bsky.social · 20/02/2025
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!
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Moritz Kraemer @mugkraemer.bsky.social · 20/02/2025
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...
rdcu.be
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.
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Reposted by Samir Bhatt
Eric Topol @erictopol.bsky.social · 19/02/2025
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
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Ryan Hisner @ryanhisner.bsky.social · 16/02/2025
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...
medrxiv.org
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arxiv stat.ML @arxiv-stat-ml.bsky.social · 11/02/2025
Alessandro Micheli, M\'elodie Monod, Samir Bhatt Diffusion Models for Inverse Problems in the Exponential Family arxiv.org/abs/2502.05994
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Moritz Kraemer @mugkraemer.bsky.social · 10/01/2025
The rising threat of deadly diseases jumping from animals to humans www.ft.com/content/a714...
ft.com
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?
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Samir Bhatt @sjbhatt.bsky.social · 09/01/2025
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.
nature.com
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.
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Reposted by Samir Bhatt
Swapnil Mishra @smishra.bsky.social · 04/01/2025
Took us some time to get this out. Shows how one metric fits all can be dangerous. Thanks to all co-authors.
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Samir Bhatt @sjbhatt.bsky.social · 03/01/2025
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...
journals.plos.org
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...
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Samir Bhatt @sjbhatt.bsky.social · 09/12/2024
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...
sciencedirect.com
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…
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