Ivania Donoso-guzmán
PHD Researcher at KU Leuven
Leuven, Flemish Brabant, Belgium
Summary
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Senior🎓
Top SchoolIvania Donoso-guzmán is a PhD researcher and industrial engineer with 11 years of experience bridging information retrieval, data science, and software engineering across academia and industry. Currently based at KU Leuven and affiliated with imec's Augment group, she combines rigorous research—rooted in a master's thesis supported by Epistemonikos—with hands-on data science experience from Conversica and early predictive-health projects at AccuHealth. She teaches advanced programming at Pontificia Universidad Católica de Chile, favoring flipped-classroom methods that emphasize active, project-based learning in Python. Her background includes international engineering training at Centrale Lille and practical skills in PL/SQL, machine learning, and applied operations management. Colleagues value her ability to translate research insights into prototype systems and practical solutions that impact both patient outcomes and operational efficiency.
11 years of coding experience
4 years of employment as a software developer
Master in Engineering Sciences, Computer Science, Master in Engineering Sciences, Computer Science at Pontificia Universidad Católica de ChileGeneralist Engineer, Ingeniería industrial, Generalist Engineer, Ingeniería industrial at Centrale Lille
Spanish, English, French
Github Skills (32)
del10
python8
pandas8
gnn7
manipulation7
graph-embedding7
knn7
science7
frame7
data-analysis7
data-structures7
structured-data6
recommender6
machine-learning6
data-science6
Programming languages (3)
Github contributions (5)
indonoso/UserActionsLogging
Dec 2020 - Dec 2020
Contributions:28 commits, 10 pushes, 1 branch in 5 days
indonoso/small-Inventory
Jan 2017 - Sep 2017
Contributions:15 pushes, 1 branch in 7 months
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