Magda Paschali
Postdoctoral Scholar at Stanford University
Menlo Park, California, United States
Summary
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Senior🎓
Top SchoolMagda Paschali is a Postdoctoral Scholar at Stanford University with nine years of experience developing and evaluating large-scale AI models for medical imaging and neuropsychiatric diagnosis. She bridges rigorous machine learning research and clinical impact, focusing on model robustness, performance evaluation, and early disease biomarker discovery within Stanford’s AIDE and MIMI groups. Previously she developed multi-modal models in the Computational Neuroimage Science Lab and earned a summa cum laude Ph.D. from TUM for work on learning robust representations for medical diagnosis. Known for combining deep technical expertise with translational thinking, she has a track record of producing reproducible, clinically-relevant ML methods that prioritize reliability in real-world settings.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.), Informatics, 8.24, Bachelor of Science (B.S.), Informatics, 8.24 at Aristoteleion Panepistimion ThessalonikisMaster of Science (M.Sc.), Informatics, 1.6, Master of Science (M.Sc.), Informatics, 1.6 at Technical University MunichDoctor of Philosophy - PhD, Computer Science, Summa cum laude, Doctor of Philosophy - PhD, Computer Science, Summa cum laude at Technical University of Munich19/20, 19/20 at 27th General Lyceum of Thessaloniki
German, English, Greek
Github Skills (11)
matconvnet9
matlab8
reinforcement-learning7
machine-learning7
deep-learning6
tensorflow6
flexibility6
pytorch5
neural-network4
segmentation2
semantic-segmentation1
Programming languages (2)
Github contributions (5)
MaggiePas/maggiepas.github.io
Nov 2020 - Feb 2025
Contributions:9 pushes, 3 branches in 4 years 3 months
MaggiePas/Permutations_MICCAIPRIME2022
Apr 2022 - Jan 2023
Contributions:21 commits, 13 pushes in 9 months
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