
Oscar M Rueda
@omrueda
MRC Investigator, MRC BSU. University of Cambridge
ID: 1440207447524737026
21-09-2021 06:53:44
165 Tweet
262 Followers
170 Following




Many congratulations to Paul DW Kirk on being promoted to Principal Research Associate, co-leading our new Biostatistical Machine Learning theme ๐คฉ๐ Read more ๐ mrc-bsu.cam.ac.uk/news/congratulโฆ Cambridge University Medical Research Council #MachineLearning #DataScience







One year ago, I had the great opportunity to try my first grant project I got PhD award scheme during for this multi-omic project that was started with Maurizio Callari. Now working closely with Dr Riccardo Masina! Thanks Carlos Caldas ๐ต๐น๐ฎ๐ฑ๐ช๐บ๐ฌ๐ง๐ for spotting it! Hope you hear news soon!



Thanks to everyone involved in this project!!! Well done Abigail Shea !!!

New #BreastCancer Research published in AACR Cancer Research - PDXs can predict patient drug responses and model phenotypic and functional cancer evolution. Led by researchers at Alejandra Bruna Lab, CaldasLab, CRUK Cambridge Institute and Oscar M Rueda from MRC Biostatistics Unit. ๐ aacrjournals.org/cancerres/artiโฆ


BSU researchers Oscar M Rueda and Sach Mukherjee will provide expertise in AI and ML on this major new programme to help identify individual cancer risk. Read more ๐ mrc-bsu.cam.ac.uk/news/ps10m-funโฆ #MachineLearning #ArtificialInteligence #CancerRisk Cambridge University


Join us for an entertaining evening of stats and fun at our Data Quiz and Statistical Karaoke! Fri 21 March, 6.30pm Frank Lee Centre Info and free sign-up ๐ eventbrite.co.uk/e/data-quiz-anโฆ Cambridge Festival #Karaoke #QuizNight


Excited to share our latest work on monitoring response to treatment using ctDNA and shallow WGS using a Bayesian Model developed by Solon Karapanagiotis with Carlos Caldas ๐ต๐น๐ช๐บ๐ฌ๐ง๐, Emma Beddowes and Mario Ortega febs.onlinelibrary.wiley.com/doi/10.1002/18โฆ


Are you looking for a statistics/ML postdoc? Come to work with Antonis Antoniou and me in the NEMO study, an international collaboration aiming to detect ovarian cancer earlier through cutting-edge multi-omics, funded by the Alliance for Cancer Early Detection. cam.ac.uk/jobs/research-โฆ