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Maria Brbic
269 posts
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Maria Brbic
@mariabrbic
Assistant Professor of #computerscience and #lifesciences at @EPFL @ICepfl @epflSV Previously @Stanford #AI #compbio
Joined September 2020
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  • Pinned
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    Maria Brbic
    @mariabrbic
    Feb 17
    Are neural nets across modalities really converging to the same representation as they scale, as the Platonic Representation Hypothesis suggests? We show that common representational similarity metrics are confounded by network width & depth. We propose a permutation-based
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    Maria Brbic
    @mariabrbic
    Nov 25, 2024
    🚀 We're #Hiring #PhD students at MLBio Lab at @EPFL_en through the EDIC Program! 📅 Deadline: Dec 15 Are you passionate about generative AI, unsupervised learning and solving problems in biomedicine? 🧬 Apply & mention your interest in your application. 💥 We're part of
    brbiclab.epfl.ch
    Main - MLBio Lab
    Maria Brbic
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    Maria Brbic
    @mariabrbic
    Jul 15, 2022
    I'll be joining EPFL @EPFL_en as an assistant professor this fall! I'm immensely grateful to my mentors, collaborators, colleagues and everyone who supported me. Thank you all! Excited to continue my research at the intersection of ML and biomedicine!
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    Martin Vetterli
    @MartinVetterli
    Jul 14, 2022
    Thrilled to see brilliant minds joining #EPFL! Such an honour to welcome Maria Brbic (@Stanford), Daryl Yee (@MIT), Martin Hairer (@imperialcollege, #FieldsMedal 2014) and Xue-Mei Li (@imperialcollege) to our faculty ethrat.ch/en/16-new-prof… via @ETH_Rat @Conseil_EPF 1/2
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    Maria Brbic
    @mariabrbic
    Jan 29, 2022
    Happy to share that our work has been accepted to #ICLR2022! We introduce a novel open-world semi-supervised learning setting and propose ORCA method that simultaneously recognizes existing and discovers novel classes. W/ @kaidicao and @jure Paper: arxiv.org/pdf/2102.03526…
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    Maria Brbic
    @mariabrbic
    Oct 24, 2022
    Proud to share that our STELLAR 💫 method for annotating spatially resolved single-cell data is now out in @naturemethods! Incredible collaboration and team @kaidicao @johnhickey22 @yuqitan3 @SnyderShot @GarryPNolan @jure as part of the Human BioMolecular Atlas Program @_hubmap
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    Nature Methods
    @naturemethods
    Oct 24, 2022
    Introducing STELLAR: a geometric deep learning method for cell type discovery and identification in spatially resolved single-cell datasets. @jure @GarryPNolan @SnyderShot nature.com/articles/s4159…
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    Maria Brbic
    @mariabrbic
    Nov 29, 2021
    Excited to share our STELLAR 💫 method for annotating spatial single-cell data! STELLAR has been used to annotate CODEX @_hubmap data. Wonderful collaboration with amazing team @kaidicao @johnhickey22 @yuqitan3 led by @jure @SnyderShot @GarryPNolan biorxiv.org/content/10.110…
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    Maria Brbic
    @mariabrbic
    Nov 20, 2024
    Honoured to be awarded the SNSF Starting Grant!🎉 Congratulations to my colleagues who also received the award @TrackingActions @camille_goemans @pschwllr
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    EPFL Life Sciences
    @epflSV
    Nov 20, 2024
    🎉🎉🎉Three life sciences researchers @EPFL_en, Camille Goemans (@camille_goemans), Mackenzie Mathis (@TrackingActions), and Maria Brbic (@mariabrbic) have been awarded #StartingGrants from @snsf_ch! Read more (EN, FR, DE)👇 actu.epfl.ch/news/three-epf…
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    Maria Brbic
    @mariabrbic
    May 4, 2021
    What is needed for generalizable and interpretable few-shot learning methods applicable across many domains? We advocate that the answer lies in concept-based reasoning! Check our paper at #ICLR2021 poster session today, 5-7pm PDT! iclr.cc/virtual/2021/p… w/ @kaidicao and @jure
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    Maria Brbic
    @mariabrbic
    Feb 16, 2024
    Our 🪐SATURN method is now out in @naturemethods! SATURN paves the way for universal cell embeddings, enabling integration of datasets across different species 🐒🐁🧍🐟🐸 Using protein language models, we encode biological meaning of genes in scRNA-seq datasets.
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    Nature Methods
    @naturemethods
    Feb 16, 2024
    SATURN performs cross-species integration and analysis using both single-cell gene expression and protein representations generated by protein language models. @jure @YanayRosen @mariabrbic @yusufroohani nature.com/articles/s4159…
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    Maria Brbic
    @mariabrbic
    Nov 7, 2023
    How to infer human labelling of a given dataset in a model-agnostic way? Check our new method HUME accepted at @NeurIPSConf as #spotlight!🌟 HUME provides a new view to tackle unsupervised learning. Kudos to my fantastic PhD student @artygadetsky! Paper arxiv.org/abs/2311.02940
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    Maria Brbic
    @mariabrbic
    Jul 12, 2024
    How can we discover fine-grained classes within a coarsely labeled dataset? Excited to present FALCON at #ICML2024, a method for uncovering fine-grained classes without fine-grained supervision. FALCON is versatile and works across various domains! W/ @GrcicMatej @artygadetsky
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    Maria Brbic
    @mariabrbic
    Mar 11, 2024
    Excited to share our PlaNet 🌏method that reasons over population variability, disease biology, and drug chemistry using a massive clinical knowledge graph. We apply PlaNet to predict outcomes of clinical trials. w/ @michiyasunaga @agrwalprabhat @jure medrxiv.org/content/10.110…
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    Maria Brbic
    @mariabrbic
    May 2, 2024
    Absolutely thrilled that 3/3 submissions from our lab have been accepted at #ICML2024! A big shoutout to my fantastic students @ShuoWen18 @artygadetsky @GrcicMatej @YulunJiang for this achievement! Stay tuned—we'll be posting the papers online soon!
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    Maria Brbic
    @mariabrbic
    Sep 12, 2023
    Honored and humbled to receive the Early Career Award 🏆. Thank you @ISBSIB for this recognition! Immensely grateful to my mentors and colleagues for the support through this journey🌟
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    SIB
    @ISBSIB
    Sep 12, 2023
    Replying to @ISBSIB
    For her research bridging machine learning and biomedicine and her strong involvement in promoting diversity, equity and inclusion in computer science, Maria Brbic (@mariabrbic) from @EPFL_en receives the 2023 Early Career Award! Congratulations! @epflSV #SIBawards #bc2basel
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