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Title: Bradley Gram-Hansen | Home

Description: DPhil student in AI and Machine Learning, a lover of the natural world and passionate about interesting problems.

direct link

Domain: bayesianbrad.github.io

authorBradley & Martin Saveski
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Links:

https://bayesianbrad.github.io/
Apple https://www.apple.com/
University of Oxford https://aims.robots.ox.ac.uk/
Biohttps://bayesianbrad.github.io/index.html#bio
Publicationshttps://bayesianbrad.github.io/index.html#publications
postshttps://bayesianbrad.github.io/index.html#posts
Resumehttps://bayesianbrad.github.io/index.html#resume
Applehttp://www.apple.com/
Dataminr http://www.dataminr.com/
Intelligent Networkshttp://intelligentnetworks.ai
Entrepreneur Firsthttp://www.joinef.com
University of Oxfordhttp://www.ox.ac.uk/
Autonomous Intelligent Machines and Systems (AIMS)http://aims.robots.ox.ac.uk/
Yee Whye Teh https://www.stats.ox.ac.uk/~teh/
Atılım Güneş Baydinhttp://www.robots.ox.ac.uk/~gunes/
Phil Torrhttp://www.robots.ox.ac.uk/~phst/
Tom Rainforth http://www.robots.ox.ac.uk/~twgr/
Frank Woodhttps://www.cs.ubc.ca/~fwood/
Fun to Imagine with Richard Feynmanhttps://www.youtube.com/watch?v=P1ww1IXRfTA&ab_channel=ChristopherSykes
research internshiphttps://quantingham.wordpress.com/people/
Gerardo Adessohttps://quantingham.wordpress.com/
Ivette Fuenteshttps://rqinottingham.weebly.com/people.html
Antony Leehttps://quantingham.wordpress.com/people/
Greenwood dale school now called the Nottingham Academyhttps://webarchive.nationalarchives.gov.uk/20141107074127/http://www.ofsted.gov.uk/sites/default/files/documents/surveys-and-good-practice/t/Twelve%20outstanding%20secondary%20schools.pdf
complete. https://www.endurance-data.com/en/result/1/406-bradley-gram-hansen/
wild campedhttps://photos.app.goo.gl/Y7TAzMgzt7WFBuor6
fell running championhttps://www.nottsaaa.org/sites/default/files/Notts%20Fell%20Champs%20Results%202016.pdf
Google Scholarhttps://scholar.google.com/citations?user=c6uRw90AAAAJ&hl=en
Professor Luke Ong http://www.cs.ox.ac.uk/people/luke.ong/personal/
Professor John Winn https://www.microsoft.com/en-us/research/people/jwinn/
Paperhttps://bayesianbrad.github.io/assets/publications/2021_thesis/thesis.pdf
Paperhttps://bayesianbrad.github.io/assets/publications/2020_covidsim/paper.pdf
Posterhttps://bayesianbrad.github.io/assets/publications/2020_covidsim/poster.pdf
Codehttps://github.com/torrvision/covid-sim-backup
Paperhttps://bayesianbrad.github.io/assets/publications/2019_physics/NeurIPS-2019-efficient-probabilistic-inference-in-the-quest-for-physics-beyond-the-standard-model-Paper.pdf
Codehttps://github.com/etalumis
Paperhttps://bayesianbrad.github.io/assets/publications/2019_physics/sc19.pdf
Codehttps://github.com/etalumis
Paperhttps://bayesianbrad.github.io/assets/publications/2019_malaria/paper.pdf
Posterhttps://docs.google.com/presentation/d/1obDkTjoNGvvuSL-oxpSqe1miHVhpVKk79J7cOhGn92U/edit?usp=sharing
Codehttps://github.com/bayesianbrad/openmalaria_probprog
Paperhttps://bayesianbrad.github.io/assets/publications/2019_lfppl/paper.pdf
Codehttps://github.com/bayesianbrad/PyLFPPL
Paperhttps://bayesianbrad.github.io/assets/publications/2019_mappinginformal/paper.pdf
Codehttps://github.com/FrontierDevelopmentLab/informal-settlements
Paperhttps://bayesianbrad.github.io/assets/publications/2019_material/paper.pdf
Codehttps://github.com/FrontierDevelopmentLab/informal-settlements
Professor Luke Ong http://www.cs.ox.ac.uk/people/luke.ong/personal/
Professor John Winn https://www.microsoft.com/en-us/research/people/jwinn/
Paperhttps://bayesianbrad.github.io/assets/publications/2021_thesis/thesis.pdf
Paperhttps://bayesianbrad.github.io/assets/publications/2020_covidsim/paper.pdf
Posterhttps://bayesianbrad.github.io/assets/publications/2020_covidsim/poster.pdf
Codehttps://github.com/torrvision/covid-sim-backup
Paperhttps://bayesianbrad.github.io/assets/publications/2019_usuable_probprog/PPIG2019-accepted.pdf
Paperhttps://bayesianbrad.github.io/assets/publications/2019_physics/NeurIPS-2019-efficient-probabilistic-inference-in-the-quest-for-physics-beyond-the-standard-model-Paper.pdf
Codehttps://github.com/etalumis
Paperhttps://bayesianbrad.github.io/assets/publications/2019_physics/sc19.pdf
Codehttps://github.com/etalumis
Paperhttps://bayesianbrad.github.io/assets/publications/2019_malaria/paper.pdf
Posterhttps://docs.google.com/presentation/d/1obDkTjoNGvvuSL-oxpSqe1miHVhpVKk79J7cOhGn92U/edit?usp=sharing
Codehttps://github.com/bayesianbrad/openmalaria_probprog
Paperhttps://bayesianbrad.github.io/assets/publications/2019_lfppl/paper.pdf
Codehttps://github.com/bayesianbrad/PyLFPPL
Paperhttps://bayesianbrad.github.io/assets/publications/2019_mappinginformal/paper.pdf
Codehttps://github.com/FrontierDevelopmentLab/informal-settlements
Paperhttps://bayesianbrad.github.io/assets/publications/2019_material/paper.pdf
Codehttps://github.com/FrontierDevelopmentLab/informal-settlements
Paperhttps://bayesianbrad.github.io/assets/publications/2018_hmc_probprog/paper.pdf
Codehttps://github.com/bayesianbrad/PyLFPPL
Paperhttps://bayesianbrad.github.io/assets/publications/2017_gp/paper.pdf
Codehttps://github.com/bayesianbrad/Stacked_kernel
Paperhttps://bayesianbrad.github.io/assets/publications/2015_dis/paper.pdf
Paperhttps://bayesianbrad.github.io/assets/publications/2014_thesis/paper.pdf
Posterhttps://bayesianbrad.github.io/assets/publications/2014_thesis/poster.pdf
https://bayesianbrad.github.io/posts/2020-transfer-domain-to-google-cloud.html
https://bayesianbrad.github.io/posts/2019_the-phd-life.html
https://bayesianbrad.github.io/posts/2019_hmc.html
https://bayesianbrad.github.io/posts/2017_loader-finder-python.html
https://bayesianbrad.github.io/posts/2019_Backpacking-with-just-hand-luggage.html
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html
https://bayesianbrad.github.io/posts/2020-transfer-domain-to-google-cloud.html
https://bayesianbrad.github.io/posts/2019_the-phd-life.html
https://bayesianbrad.github.io/posts/2019_hmc.html
https://bayesianbrad.github.io/posts/2017_loader-finder-python.html
https://bayesianbrad.github.io/posts/2019_Backpacking-with-just-hand-luggage.html
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html
PDF https://bayesianbrad.github.io/assets/cv/bradley-gram-hansen_resume_updated-3.pdf
Martin Saveski's site https://web.stanford.edu/~msaveski/

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