Prathyush Sambaturu
@prathyushs.bsky.social
Postdoc @ University of Oxford
Network Science, Computational Epidemiology, and Combinatorial Optimization
Network Science, Computational Epidemiology, and Combinatorial Optimization
Pinned
Identifying and Characterising Higher Order Interactions in Mobility Networks Using Hypergraphs
Understanding human mobility is essential for applications ranging from urban planning to public health. Traditional mobility models such as flow networks and colocation matrices capture only pairwise...
arxiv.org
Excited to share our latest work: "Identifying and Characterising Higher Order Interactions in Mobility Networks Using Hypergraphs." Preprint available here: arxiv.org/abs/2503.18572
With @mugkraemer.bsky.social and @/Bernardo
With @mugkraemer.bsky.social and @/Bernardo
Reposted by Prathyush Sambaturu
Climate-sensitive disease data integration has been challenging due to variations in spatial & temporal resolution of inputs as well as multi-modality (satellite imagery, tabular, genomic..). We built a tool to makes it easier to perform data integration: wellcomeopenresearch.org/articles/10-...
wellcomeopenresearch.org
September 2, 2025 at 7:59 AM
Climate-sensitive disease data integration has been challenging due to variations in spatial & temporal resolution of inputs as well as multi-modality (satellite imagery, tabular, genomic..). We built a tool to makes it easier to perform data integration: wellcomeopenresearch.org/articles/10-...
Reposted by Prathyush Sambaturu
Maria Pope starting off the afternoon at toponets @netsciconf.bsky.social talking about redundancy-synergy tradeoffs in network neuroscience
June 3, 2025 at 12:41 PM
Maria Pope starting off the afternoon at toponets @netsciconf.bsky.social talking about redundancy-synergy tradeoffs in network neuroscience
Excited to share our latest work: "Identifying and Characterising Higher Order Interactions in Mobility Networks Using Hypergraphs." Preprint available here: arxiv.org/abs/2503.18572
With @mugkraemer.bsky.social and @/Bernardo
With @mugkraemer.bsky.social and @/Bernardo
Identifying and Characterising Higher Order Interactions in Mobility Networks Using Hypergraphs
Understanding human mobility is essential for applications ranging from urban planning to public health. Traditional mobility models such as flow networks and colocation matrices capture only pairwise...
arxiv.org
March 26, 2025 at 12:21 PM
Excited to share our latest work: "Identifying and Characterising Higher Order Interactions in Mobility Networks Using Hypergraphs." Preprint available here: arxiv.org/abs/2503.18572
With @mugkraemer.bsky.social and @/Bernardo
With @mugkraemer.bsky.social and @/Bernardo
Reposted by Prathyush Sambaturu
New preprint by Joseph Tsui (www.oxfordmartin.ox.ac.uk/people/josep...) on the detection of viral importations of emerging infectious diseases under low sampling regimes.
www.medrxiv.org/content/10.1...
Critical work for more accurately estimating the timing and intensity of lineage movements.
www.medrxiv.org/content/10.1...
Critical work for more accurately estimating the timing and intensity of lineage movements.
March 10, 2025 at 11:13 AM
New preprint by Joseph Tsui (www.oxfordmartin.ox.ac.uk/people/josep...) on the detection of viral importations of emerging infectious diseases under low sampling regimes.
www.medrxiv.org/content/10.1...
Critical work for more accurately estimating the timing and intensity of lineage movements.
www.medrxiv.org/content/10.1...
Critical work for more accurately estimating the timing and intensity of lineage movements.
Reposted by Prathyush Sambaturu
Great to be involved in putting this one together!
Artificial intelligence for modelling infectious disease epidemics, now out in @nature.com
Lots of exciting scope for using AI technologies to advance infectious disease research and preparedness!
www.nature.com/articles/s41...
Artificial intelligence for modelling infectious disease epidemics, now out in @nature.com
Lots of exciting scope for using AI technologies to advance infectious disease research and preparedness!
www.nature.com/articles/s41...
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.
www.nature.com
March 6, 2025 at 5:12 AM
Great to be involved in putting this one together!
Artificial intelligence for modelling infectious disease epidemics, now out in @nature.com
Lots of exciting scope for using AI technologies to advance infectious disease research and preparedness!
www.nature.com/articles/s41...
Artificial intelligence for modelling infectious disease epidemics, now out in @nature.com
Lots of exciting scope for using AI technologies to advance infectious disease research and preparedness!
www.nature.com/articles/s41...
Reposted by Prathyush Sambaturu
🧠 How does the brain process complex, High-Order interactions? Using fMRI and hypergraph-based methods, we uncover high-order hubs that reveal complex patterns in brain activity!
"Emergence of High-Order Functional Hubs in the Human Brain"
Read more: www.biorxiv.org/content/10.1...
"Emergence of High-Order Functional Hubs in the Human Brain"
Read more: www.biorxiv.org/content/10.1...
January 16, 2025 at 11:44 AM
🧠 How does the brain process complex, High-Order interactions? Using fMRI and hypergraph-based methods, we uncover high-order hubs that reveal complex patterns in brain activity!
"Emergence of High-Order Functional Hubs in the Human Brain"
Read more: www.biorxiv.org/content/10.1...
"Emergence of High-Order Functional Hubs in the Human Brain"
Read more: www.biorxiv.org/content/10.1...
@lordgrilo.bsky.social’s talk on the relationship between mechanisms/dynamic models and phenomena/observables. #NetSciX2025
January 16, 2025 at 11:22 AM
@lordgrilo.bsky.social’s talk on the relationship between mechanisms/dynamic models and phenomena/observables. #NetSciX2025
Reposted by Prathyush Sambaturu
2025 is when we'll be moving into one of the "11 architecture projects set to shape the world in 2025" according to the CNN: edition.cnn.com/2025/01/01/s...
January 14, 2025 at 10:09 AM
2025 is when we'll be moving into one of the "11 architecture projects set to shape the world in 2025" according to the CNN: edition.cnn.com/2025/01/01/s...
Reposted by Prathyush Sambaturu
Keynote speaker Laszlo Barabasi introduces the audience to the world of physical networks and their implications for brain structure
The topic was so hot that it caused a false fire alarm of the hotel
#NetSciX2025
The topic was so hot that it caused a false fire alarm of the hotel
#NetSciX2025
January 15, 2025 at 4:38 AM
Keynote speaker Laszlo Barabasi introduces the audience to the world of physical networks and their implications for brain structure
The topic was so hot that it caused a false fire alarm of the hotel
#NetSciX2025
The topic was so hot that it caused a false fire alarm of the hotel
#NetSciX2025
Reposted by Prathyush Sambaturu
What do the predictability limits of epidemics have to do with limits on our us of AI study biology?
Tomorrow at 9am in Indore (1030pm today in Boston), I'm going to try and connect these dots during my #netscix2025 keynote lecture.
Tune into the live feed here: www.youtube.com/live/frY8luh...
Tomorrow at 9am in Indore (1030pm today in Boston), I'm going to try and connect these dots during my #netscix2025 keynote lecture.
Tune into the live feed here: www.youtube.com/live/frY8luh...
January 15, 2025 at 2:50 PM
What do the predictability limits of epidemics have to do with limits on our us of AI study biology?
Tomorrow at 9am in Indore (1030pm today in Boston), I'm going to try and connect these dots during my #netscix2025 keynote lecture.
Tune into the live feed here: www.youtube.com/live/frY8luh...
Tomorrow at 9am in Indore (1030pm today in Boston), I'm going to try and connect these dots during my #netscix2025 keynote lecture.
Tune into the live feed here: www.youtube.com/live/frY8luh...
@scarpino.bsky.social delivering his keynote at #NetSciX2025 on epistemic failure of predictions. “Entropy rises for Influenza with more data.”
January 16, 2025 at 4:16 AM
@scarpino.bsky.social delivering his keynote at #NetSciX2025 on epistemic failure of predictions. “Entropy rises for Influenza with more data.”
Reposted by Prathyush Sambaturu
Optimal disease surveillance with graph-based active learning. New work led by Joseph Tsui (DPhil student in our group: www.oxfordmartin.ox.ac.uk/people/josep...). Many potential applications to emerging infectious diseases and routine surveillance of IDs.
www.pnas.org/doi/10.1073/...
www.pnas.org/doi/10.1073/...
Toward optimal disease surveillance with graph-based active learning | PNAS
Tracking the spread of emerging pathogens is critical to the design of timely and
effective public health responses. Policymakers face the challeng...
www.pnas.org
December 23, 2024 at 8:07 AM
Optimal disease surveillance with graph-based active learning. New work led by Joseph Tsui (DPhil student in our group: www.oxfordmartin.ox.ac.uk/people/josep...). Many potential applications to emerging infectious diseases and routine surveillance of IDs.
www.pnas.org/doi/10.1073/...
www.pnas.org/doi/10.1073/...