Dr. Daniela Castro-Camilo

SP Energy Networks, Scottish and Southern Electricity Networks and Sia Partners. If you'd like to help develop the statistical methodologies that underpin this forecasting capability, build something cool, and make an impact in the #energy sector, apply now! 💡

Come to work with me and Jethro Browell on the Predict4Resilience Strategic Innovation Fund project for the next 2+ years. This project is developing tools for #forecasting weather-related faults in #electricity distribution networks in collaboration with ⬇️

📣Job opportunity: #postdoc in #statistics & #datascience to work on #forecasting weather-related faults in #electricity networks. Closing date: 4th January 2024 Link: jobs.ac.uk/job/DEP285/res…

📢 We're hiring! Our Mitchell Fellowship, a 3-year Fellowship position in Statistics and Data Analytics is open for applications, for details see: jobs.ac.uk/job/DDD512/mit… NEW CLOSING DATE: 29/10/2023

The draft programme for September's @RoyalStatSoc International Conference in Harrogate is now available: virtual.oxfordabstracts.com/#/event/4019/p… Featuring 67 invited topic sessions & professional development workshops - this🧵will preview the topics over the coming weeks #RSS2023Conf

We will be hosting the STOR-i Extremes Workshop in September #STEW23! Keynote speakers are Jon Tawn, Miguel de Carvalho @mbcarvalho, Daniela Castro-Camilo @d4niCC, Emma Simpson and Christian Rohrbeck @RohrbeckC! 🥳 Registration is free, find out more here: lancaster.ac.uk/stor-i/about-u…

Paper published and small grant accepted, not a bad start to the morning!

@eleanor_darcy_ @smithinst Congratulations!! 🎉

Thank you very much to the @smithinst for choosing me as their winner of the TakeAIM competition. I feel extremely honoured to win this award and look forward to presenting my research at the awards ceremony later this month 🥳

Fantastic opportunity to come and work with me, Prof Marian Scott, @DrRuthODonnell, colleagues at @UK_CEH and the wider MOT4Rivers team .......full details below......

Free Bayesian Data Analysis course statmodeling.stat.columbia.edu/2023/02/02/fre…

Happy to announce the next TIES webinar: Marie-Josee Fortin speaking on network theory to improve forest resilience 27 January 11:00 CT / 18:00 CET @IntStat @FortinMJ #statistics #forest

@Andrei_WongE @UofGARC Unfortunately the talks were not recorded, but keep tuned for future events!

@d4niCC @UofGARC Were the talks recoded?

That's a wrap! Thanks for joining us in the workshop 𝗜𝗡𝗟𝗔: 𝗽𝗮𝘀𝘁, 𝗽𝗿𝗲𝘀𝗲𝗻𝘁, 𝗮𝗻𝗱 𝗳𝘂𝘁𝘂𝗿𝗲. Lots of excellent talks and insightful discussions. Thanks to the @UofGARC team for their help and for allowing us to host this event in their amazing building.

@KalondePatrick @UofGARC Great! Unfortunately the workshop was not recorded, but keep tuned for future events!

@d4niCC @UofGARC Wow!!! I started using INLA last August. Please share with us the recording so that we should at least know the recent developments

@freeges Also, new & exciting additional packages coming up!

@freeges Many things on the agenda. For now: a new INLA with improved scalability & stability (due to variational Bayes), accompanied by new parallelisation strategies. Important changes to inlabru to make interface with INLA even simpler & cope with retire of rgdal/rgeos.

In the latest #GeoHero Professor Luigi Lombardo talks about the importance of #artificialintelligence in geosciences and how we can benefit from it in natural disasters such as landslides. #itcfamily #utwente #ai #geosciences #aiingeosciences #landslides #augmentedreality

New data science content platform by the RSS ➡️ realworlddatascience.net

@adeeplake Las escuelas de verano de la Chile son una tremenda iniciativa. Que lindo saber que han influido positivamente en tantos (yo incluida)!

1/n Cuando estaba en tercero medio, abrieron unas Escuelas de verano en Beaucheff, para captar jóvenes que estuvieran interesados en las ciencias. Yo tenía una profesora de química, se llamaba Carla Bello. Ella me contó de estos cursos y me dijo que el sueño de su vida era

📌 #StatsSeminar 📅 Wed 26 Oct 2–3pm We welcome @QunshanZhao from @UofGSPS speaking on building energy efficiency and tree preservation using urban big data & deep learning DM @WeiZhangStats to join us Info and abstract 👉gla.ac.uk/schools/mathem… #deeplearning #BigData  #Stats