
Bartlomiej Chybowski
@bartchybowski
Biomedical Signal Processing PhD student @EdinburghUni | Data Scientist | "What are clouds made of? - Linux Servers, mostly"
ID: 903345921739673600
https://bartlomiej-chybowski.github.io 31-08-2017 19:57:05
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So pleased that our paper has been accepted at the IEEE BIBM! I will be presenting it at the Machine Learning for EEG Signal Processing workshop, exact dates coming soon. A huge thanks to my wonderful supervisors for all of their help and support! @SulserGonzalez Javier Escudero 🇪🇺




So happy to have passed my viva this week with minor corrections!! A huge thanks to my awesome supervisors @SulserGonzalez and Javier Escudero 🇪🇺! And to the Engineering and Physical Sciences Research Council and SIDB for making it all possible!

If you could restart your PhD, what are the things you wish you knew ? Sort of like the hypothetical ‘if you could take 3 things to a desert island’ question. I wrote an article on mine: medium.com/@melissaclaire… PhD Voice - Independently Run Academic Encouragement Academic Chatter™ Academic Mom, PhD The PhD Place #phd


Excited to announce that I will be presenting at the Emerging Leaders Symposium on May 21! Join us to explore innovative approaches in epilepsy research. More details here: epilepsy-institute.org.uk/eri/news/inaug… #EpilepsyResearch Muir Maxwell Epilepsy Centre Epilepsy Research Institute Javier Escudero 🇪🇺 @SulserGonzalez

Now Bartlomiej Chybowski, PhD student at the Epilepsy Research Institute University of Edinburgh Doctoral Training Centre is presenting on "Single machine learning classifier pipeline to detect seizures in different patient datasets” #EmergingLeaders Bartlomiej Chybowski


Kudos to Bartlomiej Chybowski for presenting part of the work in his #PhD at the #EmergingLeaders ResearchNet ERI by Epilepsy Research Institute, well done! Bart is developing machine learning pipelines to detect #seizures across datasets CC @SulserGonzalez Muir Maxwell Epilepsy Centre School of Engineering

.hollan haule presents our recent work on collaborative learning and inference to predict clinical events in routinely collected #ICU data at the 2024 KidsBrainIT meeting Joint work School of Engineering Usher Institute The Alan Turing Institute


📢 Upcoming Special Issue at IEEE Signal Processing Society Signal Processing Magazine on "Accelerating #Brain Discovery Through #Data Science and #Neurotechnology" co-edited by Vince Calhoun @vcalhoun.bsky.social, Damien Coyle, Borbala Hunyadi, Jing Sui and myself 📅White papers: 1st Nov Info: drive.google.com/file/d/1bcpFCq… Pls RT

Excited to be at the European Epilepsy Congress in Rome! Join us at Poster #109. We explore usage of machine learning in infantile spasms detection #EEC2024 Muir Maxwell Epilepsy Centre Javier Escudero 🇪🇺 @SulserGonzalez Epilepsy Research Institute


Great talk by @SulserGonzalez at #EEC2024 Melissa Fasol Javier Escudero 🇪🇺 Muir Maxwell Epilepsy Centre SIDB


Some final highlights from #eec2024! Presentations form Epilepsy Research Institute The University of Edinburgh PhD student Bartlomiej Chybowski, International League Against Epilepsy European Young Investigator awardee Professor Gabriele Lignani and Theme Lead Dr Rebecca Bromley #EpilepsyResearchInstitute


Thank you Epilepsy Research Institute for the invitation to speak Kudos to the whole team: Bartlomiej Chybowski most of all, @SulserGonzalez, @RealJayShetty and many others And big, big thanks to Edinburgh Innovations - Find us on Bluesky 🦋 for Harmonised IAA funding and UKIST 💜💜 for inspiring this research 💜

Ola's paper "A blood- and brain-based EWAS of smoking" now published in Nature Communications nature.com/articles/s4146… Findings include: EPIC - TWIST - ONT comparisons, GWAS of DNAm smoking vs measured smoking, blood-brain DNAm comparisons, and EWAS + EpiScore...
