An informational flyer for the Royal Statistical Society's 'Statistics for Every Body' online event. The flyer includes a summary of the inclusive data communication topic, headshots and affiliations of key speakers, and practical information like the event date (Jan 28, 2026), time (12:00-13:30), and how to register: bit.ly/Stats4Every1
๐ The RSS presents "Statistics for Every Body: Inclusive Data Communication" on Jan 28, 2026!
๐ Learn to make your data accessible for audiences with visual & auditory impairments with experts from BBC News, ONS & more.
๐Event details: bit.ly/Stats4Every1
#StatsSky #DataVis #RStats #InclusiveStats
19.12.2025 11:31 โ ๐ 7 ๐ 7 ๐ฌ 1 ๐ 2
very cool!
02.12.2025 11:06 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Oooh that's lovely, and makes me wonder how you could produce something showing the correlation with height above sea level ๐ค๐
07.11.2025 08:58 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
Rocky coastline of Greek island
Recharged after a much needed week of sun and rest โ๏ธ๐ฌ๐ท Even managed to clear the email backlog in a morning. ๐ค
09.07.2025 13:52 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Gutted to miss this one due to holidays, but strongly recommend to those able to get to it in Edinburgh and looking forward to reading the book @kevinguyan.bsky.social ๐ณ๏ธโ๐
23.06.2025 13:44 โ ๐ 4 ๐ 2 ๐ฌ 0 ๐ 0
Covariance Decomposition for Distance Based Species Tree Estimation
In phylogenomics, species-tree methods must contend with two major sources of noise; stochastic gene-tree variation under the multispecies coalescent model (MSC) and finite-sequence substitutional noi...
New out on arXiv today: arxiv.org/abs/2506.16425
This paper on statistical properties of estimators in phylogenomics is the last from George's soon-to-be-submitted thesis. It was great to supervise as it was a wonderful example of the research being driven by George's curiosity and original ideas.
23.06.2025 13:42 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Refuse to be invisible! ๐ณ๏ธโ๐๐ณ๏ธโโง๏ธ
Now is the time to make our voices heard, sharing our experiences in the EHRC Consultation which affects LGBTQ+ people.
We've created a handy guide to help plan your response, get started now and share this post.
www.lgbt.foundation/EHRC
03.06.2025 17:42 โ ๐ 47 ๐ 28 ๐ฌ 1 ๐ 10
Come back to me when the AI can fold the laundry ๐
05.06.2025 10:15 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
Are there more autistic people now?
Why is the number of autism diagnoses changing? And what does it mean for autistic people?
This BBC article does a better than average job of reporting the difficulties in measuring trends conditions like autism with highly variable diagnosis rates - kudos!: www.bbc.co.uk/news/article...
03.05.2025 10:52 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Today is revision lecture day which means quadruple checking I go through the solutions to LAST yearโs exam, not THIS yearโs as I had a nightmare about last week ๐
02.05.2025 08:57 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
A screengrab of the BBC website showing three stories from the past two days of men murdering women, and one from a week ago.
I am so incredibly tired of this ongoing attack on trans people. Cis men are murdering women in plain sight. If gender-critical women turned their attention to dealing with men, women might be safe. I'm not worried about loos or changing rooms. I am worried about literally everything else.
16.04.2025 08:56 โ ๐ 232 ๐ 81 ๐ฌ 5 ๐ 1
The core trilma here remains the same - the govt needs to accept one of three things: high student migration, higher domestic student fees (or higher taxes to fund universities) or university bankruptcies. Those are the only options, given where we are. Pick one.
08.04.2025 07:58 โ ๐ 677 ๐ 348 ๐ฌ 37 ๐ 31
Today EPSRC has published an independent analysis of diversity data, by @royalstatsoc.bsky.social and input from the Alan Turing Institute.
The project investigates potential bias in the EPSRC peer review process using structured data analysis and textual analysis of reviewersโ comments and scores.
06.03.2025 11:13 โ ๐ 6 ๐ 5 ๐ฌ 1 ๐ 1
Outside work I'm a big fan of books, coffee, dogs, running, and general nerdy/queer fun stuff ๐
01.03.2025 10:51 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
I'm a statistician by training and always interested in how data-driven models and systems can be explained clearly to the public.
I'm a small part of some great EDI initiatives at the Royal Statistical Society and at Lancaster and keen to share and learn from others' inclusion expertise here.
01.03.2025 10:51 โ ๐ 2 ๐ 0 ๐ฌ 1 ๐ 0
Hi Bluesky ๐ฆ ๐
I'm hoping to (re)connect with the Stats, ML/AI, and EDI in STEM/Academia communities here, so here's a cringey bio
I'm a Lecturer (Assist Prof) at Lancaster Uni, with a background in reinforcement learning theory, and interests in fairness & reliability in human-AI decision-making.
01.03.2025 10:51 โ ๐ 4 ๐ 0 ๐ฌ 1 ๐ 0
Biostatistics ร R ร Data Visualization ร Energy Analytics
Advanced analytics for health & electricity market data
R โข Shiny โข Statistical modeling โข Interactive dashboards
From raw datasets to decision-ready outputs
medyanistdanismanlik.com
Postdoc @ProbAIHub, hosted @warwickstats @Princeton @orfe. PhD @GatsbyUCL. Works on universality and ML theory. He/him. ๐
kevinhanhuang.page
Lecturer in Biostatistics | Evidence Synthesis | Prediction Modelling | Quantitative Epidemiology | Own opinions
HIIT Postdoctoral Fellow at the University of Helsinki ๐ซ๐ฎ
Previously in Edinburgh, Lille and Madrid.
Working on Bayesian inference for state-space models, and Bayesian experimental design.
https://sarapv.github.io/
Foundation Models, Bayesian Optimization, reinforcement learning, and AutoML. Uni of Birmingham.
Share latest AI news and trends.๐ณ๏ธโ๐
associate professor at Oxford ยท UKRI future leaders fellow ยท i study how data and algorithms shape societies ยท AI fairness, accountability and transparency ยท algorithm auditing ยท photographer, keen ๐ด๐ป ยท they/them ยท https://rocher.lc (views my own)
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
Parent, spouse, Australian, Professor of Machine Learning in Oxford. Long Covid, trans rights, music, reggae, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him).
Homepage: https://sites.google.com/view/sp-monte-carlo
Seminar: https://sites.google.com/view/monte-carlo-semina
PhD student in Computational Statistics and Machine Learning at STOR-i CDT, Lancaster University, UK.
Research Interests: Bayesian Experimental Designs, Gaussian Processes, Sampling Algorithms.
https://shusheng3927.github.io/
VP and Distinguished Scientist at Microsoft Research NYC. AI evaluation and measurement, responsible AI, computational social science, machine learning. She/her.
One photo a day since January 2018: https://www.instagram.com/logisticaggression/
Strengthening Europe's Leadership in AI through Research Excellence | ellis.eu
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
Professor at the Oslo Centre for Biostatistics and Epidemiology @ocbe.bsky.social, University of Oslo. Statistician working on high-dimensional data, Bayesian methods, unsupervised learning. https://www.med.uio.no/imb/english/people/aca/valeriv
Professor, Statistical learning in molecular medicine. Director Oslo Centre for Biostatistics and Epidemiology @ocbe.bsky.social, @uio.no & Oslo University Hospital. Posting in my own capacity. (Bio)statistics, climate breakdown, train journeys.
Full Professor at @deptmathgothenburg.bsky.social | simulation-based inference | Bayes | stochastic dynamical systems | https://umbertopicchini.github.io/
Lecturer at the Department of Statistical Science of UCL. All opinions my own. ๐ฒ๐ฝ๐ฌ๐ง
https://sites.google.com/site/fjavierrubio67/
#rstats #JuliaLang #Bayesian #Statistics #Biostatistics