Chris Holmes
@cholmesuk
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Prof U of Oxford, Director for Health @turinginst. Likes statistics, causal inference, and machine learning addressing real-world problems in health
Joined April 2011
RT @MatthewSperrin: *3* research associate/fellow jobs at Uni of Manchester, work with @NielsPeek @glen_martin1 me and colleagues at Uni of…
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funded research opportunities in modern approaches to missing data
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RT @turinginst: New £2m funding call for advanced analytics into #COVID19
@HDR_UK and the Turing launch a new joint funding call as part o…
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RT @RoyalStatSoc: The Campion lecturer at #RSS2021Conf is Bin Yu - who'll talk about 'Veridical Data Science' - the practice of responsible…
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check out this blog post (from a couple of my students) on SHAP values and their statistical interpretation. How local are local AI explanation methods?
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RT @turinginst: 📣NEWS: The Alan Turing Institute launches a strategic partnership with @Roche to generate insights into #disease, patient,…
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Bayesian prediction with guaranteed coverage (calibration) obtainable as a byproduct from MCMC. We use conformal inference and "add-one-in" importance sampling
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Come work with us on causal inference -- an exciting postdoctoral position in Oxford as part of a wider collaborative network
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happening today 4pm (UK time).....should be great!
I'm really looking forward to this event -- with a focus on data science enabled policy decisions in the pandemic response
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I'm really looking forward to this event -- with a focus on data science enabled policy decisions in the pandemic response
SEMINAR: Albert Ko, Professor of Epidemiology & Medicine and Department Chair (@YaleSPH @YaleMed) will discuss the challenges in developing data-driven #policy during the #COVID19 pandemic. Friday 21 May, 16:00-17:00 Register now for this free event:
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This looks like an excellent new seminar series with a fantastic first speaker! "Cambridge BSU Lecture in Biomedical Data Science - Prof Xiao-Li Meng" @EventbriteUK
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RT @cwcyau: I am recruiting an Associate Director for our @HDR_UK-@turinginst PhD Programme in Health Data Science. If you have innovative,…
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It was great to be part of this -- applying causal inference to understand the effectiveness of the NHS COVID-19 App
Now peer-reviewed in Nature, “The Epidemiological impact of the NHS COVID-19 App”. Here’s a quick rundown of results & what they mean. We estimated that the app prevented several hundred thousand cases from arising. The app works. 1/n
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Today 4-5pm -- world leading epidemiologist Marc Lipsitch (Harvard T.H. Chan School of Public Health) to deliver JBC/Turing/Royal Statistical Society distinguished lecture -please register and share
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Great to see the first public output from the Turing-RSS-JBC stats modelling and ML Lab!
The Turing-RSS Statistical Modelling and ML Lab has made openly available the code underpinning the nowcasting model for the no. of positive daily Covid-19 swabs. The model takes into account the data processing and reporting lag, and aids decision making.
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RT @ceclindgren: We at the @bdi_oxford @OxfordMedSci are thrilled to be partnering with @broadinstitute #schmidtcenter together with @turin…
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this is going to be exciting!!
We are very much looking forward to this tremendous collaboration. Welcome, #SchmidtCenter.
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Does “AI” stand for augmenting inequality in the era of covid-19 healthcare?
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