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Labs:
Project Teams:
- Overview
- Anatomy and Histology
- Cryo-Electron Microscopy
- Electron Microscopy
- Flow Cytometry
- Gene Targeting and Transgenics
- High Performance Computing
- Immortalized Cell Line Culture
- Integrative Imaging
- Invertebrate Shared Resource
- Janelia Experimental Technology
- Mass Spectrometry
- Media Prep
- Molecular Genomics
- Stem Cell & Primary Culture
- Project Pipeline Support
- Project Technical Resources
- Quantitative Genomics
- Scientific Computing
- Viral Tools
- Vivarium
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People / Magdalena Schneider
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Machine Learning Researcher, AI@HHMI
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I'm excited about how AI methods can advance scientific discovery, particularly at the intersection of machine learning, microscopy, physics, and cell biology. My research combines machine learning methods with physics-based modeling and priors to advance how we image and study biological systems. Within the AI@HHMI initiative, my current work spans AI methods for cryo-electron tomography, agentic AI for microscopy, and computational adaptive optics, in close collaboration with experimentalists and tool builders across fields.
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Education
PhD, Technical Physics, TU Wien Austria
MSc, Biomedical engineering, TU Wien Austria (exchange semester at ETH Zurich Switzerland)
BSc, Technical Mathematics, TU Wien Austria
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