Sonia Laguna
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    • RadVLM: A Multitask Conversational Vision-Language Model for Radiology
    • Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable
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    • 🏛️ Started a research stay at University of Cambridge!
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    • 📝 Our two main conference papers on Concept Bottleneck Models got accepted at Neurips 2024!
    • 📝 Our two workshop papers got accepted at Neurips 2024!
    • 🖥️ Joined Google as a Research Intern and later extended as a Student Researcher.
    • 📝 Our main conference paper on Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders got accepted at ICLR 2024!
    • 📝 Our workshop paper got accepted at Neurips 2023.
    • 🗣️ Our Workshop on Deep Generative Models for Health was accepted!
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    • 📚 Attended the Machine Learning Summer School (MLSS) in South Africa!
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    • 🗣️ Joined CSNOW, 30th Anniversary and ETH Diversity Award.
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    • 🏛️ Started the MSc in D-ITET at ETH Zurich!
    • 🏛️ Selected as Amgen Scholar to do research at ETH Zurich!
    • 🏛️ Started an exchange year at Georgia Institute of Technology!
    • 🏛️ Started my BSc in Biomedical Engineering at Universidad Carloss III de Madrid!
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🏛️ Started a research stay at University of Cambridge!

Feb 1, 2025 · 1 min read

Will be working on alignment of LLMs with Prof. Mihaela Van der Shaar.

Last updated on Feb 1, 2025
Sonia Laguna
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Sonia Laguna
PhD in Machine Learning @ETH Zurich
🗣️ I am Program Chair of the Synthetic Data Workshop at ICLR 2025 and of the GenAI for Biomed Applications Workshop at IEEE CBMS. Jan 1, 2025 →

© 2025 Sonia Laguna. This work is licensed under CC BY NC ND 4.0

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