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Machine Learning & Global Health Network @MLGlobalHealth

We are researchers in the U.K., Copenhagen and Singapore, founded in 2022. Working on: epi, health, phylo, Bayesian ML, computational stats, and more

Joined June 2022
  • Tweets 170
  • Following 93
  • Followers 347
96 Photos and videos
Level up your forecasting game! 📈 Join the SPHERE-PPL team for the launch of our Forecasting Contest Series. Kick-off webinar details below: 🗓️ Monday, March 31st, 2025 at 3 PM GMT 🔗 [Registration Link] Details: sphere-ppl.org/pages/Forecas… #Skills #Learning #ForecastingContest
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Predict the future of Lyme disease in the UK. Join our forecasting contest and help us better understand incidence rates. Click here to learn more: sphere-ppl.org/pages/Forecas… #LymeDiseasePrediction #UKHealth #DataChallenge #GetInvolved
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Machine Learning & Global Health Network retweeted
MRC Centre for Global Infectious Disease Analysis
@MRC_Outbreak
10 Jan 2025
New study published in @Nature Medicine estimates that in 2021, 2.9 million children (4.2%) in the United States had experienced the death of at least one parent or a grandparent caregiver responsible for most of the basic needs of the child 🧵1/3 imperial.ac.uk/news/259813/u…

United States sees significant increase in orphanhood | Imperial News | Imperial College London

There has been a significant increase in orphanhood in the last two decades in the U.S., according to a new study.

imperial.ac.uk
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We’re very excited to be teaching this course in Cape Town. Come and join us!
AIMS South Africa@AIMSacza
8 Jan 2025
NEW short course: Modern Stats & ML for Population Health in Africa. Join us @AIMSacza in Cape Town for 1 week of Gaussian processes, compartmental models, phylogenetics, and hands-on Stan sessions with real data. Details: mlgh.net/ms_ml_short_course/…
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Many members of #MLGH attended IDM 2024 in Bangkok. It was a great opportunity to share our work on health economics, vector borne diseases, social contacts and to connect with top minds around the world working in infectious disease modeling!
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Machine Learning & Global Health Network retweeted
Elizaveta Semenova @liza_semenova@sigmoid.social@liza_p_semenova
12 Sep 2024
Big thanks to @alex_andorra & @ChrisWymant for a great #StanCon 2024 panel! We covered epidemiology vs biology, infectious diseases vs NCDs, generative emulators, graph GPs, sequential data collection, and, of course, #ProbabilisticProgramming.
Thomas Wiecki@twiecki
11 Sep 2024
Live @LearnBayesStats episode with @alex_andorra at #StanCon 2024 in Oxford.
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Come see @molkjara poster at @ecmtb2024 to learn about non-Markovian Phylodynamics
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Today we're at our second MLGH meetup @imperialcollege. We have Sydney Tucker kicking off talking about crisis methods for crisis settings
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Thanks to all the participants of our second MLGH day! @Imperial_Stats @LondMathSoc
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Next up, Xiaoyue Xi is presenting her work on leveraging node level information in network inference
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It's our second in-person MLGH day, today @imperialcollege! First up is Sydney Tucker on Hope groups papers.ssrn.com/sol3/papers.…
Sydney Tucker stands in front of a powerpoint slide titled, "Solution 1. Bayesian Interim Analysis to Make Real-Time Decisions"

ALT Sydney Tucker stands in front of a powerpoint slide titled, "Solution 1. Bayesian Interim Analysis to Make Real-Time Decisions"

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Here's Leonid Chindelevitch on antimicrobial resistance and ML
Leonid presents on zoom with a slide titled, "Predicting AMR from WGS (or other) data"

ALT Leonid presents on zoom with a slide titled, "Predicting AMR from WGS (or other) data"
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