Mail: email@example.com / My résumé
I'm the pianist of Trio ELM: together with two talented singers, we perform anime and video game music in concerts.
✅ Cowriter of 2 books including the Python package tryalgo → 128 algorithms for coding contests (also a French book)
✅ Cofounder of a programming summer school for K-12 girls → Girls Can Code!
✅ Core contributor of an open-source anime recommender system → Mangaki
✅ Director of a TV show about algorithms that take control of our lives → Blame the Algorithm
✅ Contributor to a government report → open sourcing the French college admission algorithm "APB" (similar to NRMP).
I co-wrote two books about algorithms and data structures: preparing programming contests and coding interviews (Dürr and Vie 2016) and (Belghiti, Mansuy, and Vie 2016).
The book is in French but the code is in Python: all 128 algorithms are on GitHub, in the Python package tryalgo.
I wrote a chapter about adaptive assessment (Vie, Popineau, Bourda, and Bruillard 2016b) in a learning analytics book. I tend to identify the similarities between cognitive diagnostic models and item response theory.
I used to do cryptography in my master's degree and published an article about leakage resilience (Abdalla and Vie 2012).
Used a General Diagnostic Model for adaptive testing and showed that it outperformed the DINA and Rasch models at predicting examinee performance (Vie, Popineau, Bourda, and Bruillard 2016a).
Abdalla, Michel, and Jill-Jênn Vie. 2012. “Leakage-Resilient Spatial Encryption.” In International Conference on Cryptology and Information Security in Latin America, 78–99. Springer.
Belghiti, Ismael, Roger Mansuy, and Jill-Jênn Vie. 2016. Les Clés Pour L’info : ENS et Agrégation (Option d). Calvage et Mounet.
Dürr, Christoph, and Jill-Jênn Vie. 2016. Programmation efficace. Ellipses.
Vie, Jill-Jênn, Fabrice Popineau, Yolaine Bourda, and Éric Bruillard. 2016a. “A Review of Recent Advances in Adaptive Assessment.” In Learning Analytics: Fundaments, Applications, and Trends: A View of the Current State of the Art, in press. Springer.
Vie, Jill-Jênn, Fabrice Popineau, Yolaine Bourda, and Éric Bruillard. 2016b. “Adaptive Testing Using a General Diagnostic Model.” In European Conference on Technology Enhanced Learning, 331–39. Springer.
Vie, Jill-Jênn, Fabrice Popineau, Éric Bruillard, and Yolaine Bourda. 2016. “Utilisation de tests adaptatifs dans les MOOC dans un cadre de crowdsourcing.” STICEF, in review.
Vie, Jill-Jênn, Fabrice Popineau, Jean-Bastien Grill, Éric Bruillard, and Yolaine Bourda. 2015a. “Predicting Performance over Dichotomous Questions: Comparing Models for Large-Scale Adaptive Testing.” In 8th International Conference on Educational Data Mining (Edm 2015).
Vie, Jill-Jênn, Fabrice Popineau, Jean-Bastien Grill, Éric Bruillard, and Yolaine Bourda. 2015b. “Prédiction de performance sur des questions dichotomiques : comparaison de modèles pour des tests adaptatifs à grande échelle.” In Atelier Évaluation des Apprentissages et Environnements Informatiques, EIAH 2015.
Vie, Jill-Jênn, Fabrice Popineau, Françoise Tort, Benjamin Marteau, and Nathalie Denos. 2017. “A Heuristic Method for Large-Scale Cognitive-Diagnostic Computerized Adaptive Testing.” In Proceedings of the Fourth (2017) Acm Conference on Learning@ Scale, 323–26. ACM.
Vie, Jill-Jênn, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, and Hisashi Kashima. 2017. “Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario.” ArXiv E-Prints, September. https://arxiv.org/abs/1709.01584.