Prof U of Oxford, Director for Health @turinginst. Likes statistics, causal inference, and machine learning addressing real-world problems in health
Joined April 2011
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Chris Holmes retweeted
*3* research associate/fellow jobs at Uni of Manchester, work with @NielsPeek @glen_martin1 me and colleagues at Uni of Oxford and NovoNordisk: Advancing understanding of Multimorbidity using Statistical/Machine Learning jobs.manchester.ac.uk/displa…
funded research opportunities in modern approaches to missing data turing.ac.uk/events/structur…
Chris Holmes retweeted
New £2m funding call for advanced analytics into #COVID19
@HDR_UK and the Turing launch a new joint funding call as part of the National Core Studies into COVID-19 bit.ly/3jD2rsl
exciting new programme in AI for multi-morbidity turing.ac.uk/news/turing-and…
Chris Holmes retweeted
The Campion lecturer at #RSS2021Conf is Bin Yu - who'll talk about 'Veridical Data Science' - the practice of responsible data analysis and decision-making - next Tuesday at 5pm (in-person and livestreamed) virtual.oxfordabstracts.com/…
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? towardsdatascience.com/model…
Chris Holmes retweeted
📣NEWS: The Alan Turing Institute launches a strategic partnership with @Roche to generate insights into #disease, patient, and outcome heterogeneity using advanced #analytics
Read more: bit.ly/TuringRoche
ALT Announcing a new strategic partnership: The Alan Turing Institute and Roche
Bayesian prediction with guaranteed coverage (calibration) obtainable as a byproduct from MCMC. We use conformal inference and "add-one-in" importance sampling arxiv.org/abs/2106.06137
Come work with us on causal inference -- an exciting postdoctoral position in Oxford as part of a wider collaborative network tinyurl.com/apvpyfa8
happening today 4pm (UK time).....should be great! xitter.cf/cholmesuk/status/13950…
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: bit.ly/3tZnmb7
This looks like an excellent new seminar series with a fantastic first speaker! "Cambridge BSU Lecture in Biomedical Data Science - Prof Xiao-Li Meng" eventbrite.co.uk/e/cambridge… @EventbriteUK
Chris Holmes retweeted
I am recruiting an Associate Director for our @HDR_UK-@turinginst PhD Programme in Health Data Science. If you have innovative, potentially experimental ideas for doctoral research training, see further information here: hdruk.ac.uk/?p=144538
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. nature.com/articles/s41586-0… 1/n
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 turing.ac.uk/events/methodol…
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. bit.ly/3stK0bA
Chris Holmes retweeted
We at the @bdi_oxford @OxfordMedSci are thrilled to be partnering with @broadinstitute #schmidtcenter together with @turinginst @HDR_UK & many others to collaborate to understand the programs of life through research at the interface of biology and machine learning #excitingtimes
We are thrilled to announce the launch of the Eric and Wendy #SchmidtCenter. Merging biology and machine learning to understand the programs of life, the Center will enable a new field of interdisciplinary research aimed at improving human health.
broad.io/SchmidtCenterNews
this is going to be exciting!!
We are very much looking forward to this tremendous collaboration. Welcome, #SchmidtCenter.
Does “AI” stand for augmenting inequality in the era of covid-19 healthcare? bmj.com/content/372/bmj.n304