.@Bundeskanzler Scholz and I often talk about how our two countries can work together. Today, @MILA_Quebec showed us what that can look like in AI – with real-world applications – and how that partnership can create good jobs and new opportunities for both Canadians and Germans.
Interested in how we leverage graph neural networks and biomedical knowledge graphs to infer gene functions and regulatory relationships? Visit poster A-407 at ISMB/ECCB 2023 by @emy_yue, in collaboration with @zhu_zhaocheng and sophie xhonneux @causal_cell @CompHealthMuc
We are looking for a postdoc with a strong backbround in bioinformatics and/or machine learning to join our lab! Contact me if you are interested.. or retweet.. or just come and talk to me #ISMBECCB2023 next week in Lyon! I will be at the iRNA COSI 26-27 July
For all the trans people out there: You are beautiful, valuable and loveable! We walk alongside you and we celebrate you today!
#TransVisibilityDay#LGBTQI+ #QUEER
We started this project in 2020. Working together as a group with a common cause, got us through *some* of the isolation during the pandemic🫂 Happy to see our paper out, finally! 🥳
Thanks everyone😊
Follow Emy Yue Hu’s visit to @Mila_Quebec in her own words! This PhD student from @MarsicoLab visited the Canadian centre last summer to learn more about graph neural networks. Now she tells us how this stay has impacted her project and career 👀 https://t.co/jLr7hJFr26
Today we are happy to welcome Emy Yue Hu @emy_yue to our #Adventskalender series. She is a doctoral researcher from @MarsicoLab in @CompHealthMuc. Her highlight 2023 was a 3 months research stay in @tangjianpku lab @Mila_Quebec in Canada 🇨🇦 over the @causal_cell & @jherzstiftung.
Is it OK to spend 12 months to get a visa to attend a 3-day conference?
My piece in @ScienceMagazine sheds light on this issue many scholars from institutionally discriminated countries experience on a regular basis
Spoiler: 12 months, 900$, get rejected
https://t.co/AayxcnmOdm
Proud PI: @emy_yue from @MarsicoLab giving a talk at Machine Learning in Comp Bio (MLCB) 2022 https://t.co/D1WuBZEUgH next week, on path-based reasoning on biological knowledge graphs. Great collaboration with Jian Tang's group @Mila_Quebec @causal_cell
Slides and videos from the Stanford Graph Learning Workshop, which brought
together leaders from academia and industry to showcase recent advances of Graph Representation Learning across a wide range of applications.
https://t.co/TTCPjubpPf
Tomorrow is our next Kipoi seminar with Marc Horlacher @marc_horlacher from the Marsico lab at Helmholtz Zentrum Munich @HelmholtzMunich@lisamar2017.
👉Computational Modeling of Protein-RNA Interaction.
⏰Wed Nov 2, 5:30pm CET
🧬Zoom registration: https://t.co/Aa39ZSLQj6
Happy presenting our collab work about biomedical knowledge graphs at @causal_cell Symposium at @Mila_Quebec! Great time with interesting discussions! 😃
📸 @MandanaSamiei & @NZhang211