Magali Legast
PHD Student In Computer Science at University of Antwerp
Ottignies-Louvain-la-Neuve, Walloon Brabant, Belgium
Summary
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Senior🎓
Top SchoolMagali Legast is a PhD student and teaching assistant in computer science at UCLouvain, specializing in fairness and AI, with nine years of experience bridging research and education. Her work at ICTEAM focuses on algorithmic fairness, and she also contributes as unpaid staff at the University of Antwerp, reflecting collaborative ties across Belgian research institutions. Trained as a civil engineer in computer science with highest distinction, she combines rigorous engineering foundations with applied ML ethics. Colleagues describe her as someone who translates theoretical insights into teachable, testable artifacts—bringing academic depth to practical fairness challenges in AI.
9 years of coding experience
Master: ingénieur civil en informatique / computer science engineering, Grande distinction, Master: ingénieur civil en informatique / computer science engineering, Grande distinction at UCLouvain - Université catholique de Louvain
Github Skills (30)
sti10
footprint9
android8
ip7
libgdx7
flutter7
wifi7
ethernet6
tcp6
ospf5
ipv65
wake-on-lan5
routeros5
smtp5
python5
Programming languages (7)
Github contributions (5)
Magalii/AIF360
Jan 2023 - Jun 2024
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Contributions:10 pushes, 2 branches in 1 year 5 months
fairness-mlexplanationsmachine-learningbiasdatasets
Magalii/tmrowapp-contrib
Dec 2019 - Jan 2020
Tomorrow automatically calculates the climate impact of your daily choices by connecting to apps and services you already use.
Contributions:4 PRs, 15 pushes, 2 branches in 1 month
reactclimateclimate-impactchoicestomorrow
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