Last update: 04/01/2023
Teaching
My PhD, having taken place on two different geographical sites (moving every 6 months), I could not teach during it. However, as soon as the nature of my work contracts and the context allowed it, I chose to join teaching. Thus, since 2018, I have been teaching and mentoring students as a visiting professor and postdoc. The core of my past teaching lies in artificial intelligence, machine learning, python programming, and cognitive science, always with an “introduction to research” component. I, therefore, have experience with a variety of audiences (majors, ages/maturity, universities) and disciplines (computer science, and cognitive science).
Artificial intelligence
2021- current
Lecturer at the University of Bordeaux (Bordeaux, France), for the University Degree (Diplôme Universitaire in french) of Orthognathic Surgery for a public composed of medical doctors: Introduction to AI and explainable AI
Lecturer at the Ecole Nationale Supérieure de Cognitique, ENSC engineering school of Bordeaux INP, Bordeaux, France. Lectures in the fields :
o Neural network explainability and interpretability: 4h, 15 students in bac+5 (Master level)
o Ethics in AI: 4h, 20 students in bac+5 (Master level)
2019-2021
Lecturer at the Ecole Nationale Supérieure de Cognitique, ENSC engineering school of Bordeaux INP, Bordeaux, France. Lectures in the fields of neural network interpretability and clustering k-means algorithm. 8h,22 students in bac+5 (Master level)
2018-2020
Teacher at EPSI Bordeaux, Bordeaux, France, school of Computer Engineering.
Lectures and tutorials in the field of Artificial Intelligence and Machine Learning (neural networks, supervised learning, reinforcement learning using Malmo framework)
o 2018-2019: 60h 40 students in bac+4 (Master level -1)
o 2019-2020: 40h, 40 students in bac+4 (Master level -1).
o 2020-2021: 40 hours, 40 students in bac+4 years (Master level -1).
Cognitive science
2020-2021
Teacher in the Master of cognitive science at the University of Bordeaux, Bordeaux, France. Organization of tutorials in the field of cognitive functions and disability:
9h, 22 students in bac+4 (Master level-1)
12h, 17 students in bac+5 (Master level
Supervision
Since 2018, in parallel to my work, I chose to supervise students on different themes related to my research fields. The supervision was done either in the context of an internship, part-time training, or end-of-study project or as a request from the student himself. As for teaching, I have acquired experience with a variety of audiences (fields, ages/maturity, universities) and disciplines (computer science, and cognitive science). The list below is not exhaustive.
Year | Engineering school/University/High School | Students profiles | Field and topic |
---|---|---|---|
2022-2023 | ENSC Bordeaux INP, France | 3rd year in engineering school – a group of 3 students | Remote co-supervision in AI and cognitive sciences: Topic: Assessing the sensitivity of cognitive biases in artificial intelligence design. Work published in 19TH of French National Conference of Young Researchers in Artificial Intelligence RJCIA 2021 @ Plate-Forme Intelligence Artificielle PFIA, Bordeaux, France |
2022 | Faculty of Computer Engineering, Kasetsart University Bangkok, Thailand | 4rth-year university -1 student | Supervision in AI: Topic: Times series and eXplainable clustering |
2022-2023 | ENSC Bordeaux INP, France | 2nd year in engineering school – a group of 2 students | Remote co-supervision in cognitive sciences applied to AI : Topic: Assessing the impact of cognitive biases in AI project management- a study in french companies Work published in 25TH INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION HCI International 2023, Copenhagen, Denmark |
2021 | IMT Atlantique, Université Bretagne Loire, Brest, France | 3rd year in engineering school – a group of 4 students | Co-supervision in AI: Topic: MultiVariates Times series and XAI |
2021 | IMT Atlantique, Université Bretagne Loire, Brest, France | 3rd year in engineering school – a group of 4 students | Co-supervision in AI: Topic: Trust in XAI and explanations |
2021-2022 | High school in the USA | High School student | Remote supervision in AI: Topic: AI algorithms for the detection of people at risk for mental disorders Medium article |
2020-2021 | ENSC Bordeaux INP, France | 3rd year in engineering school – a group of 2 students | Remote co-supervision in AI and cognitive sciences: Topic: Assessing the sensitivity of cognitive biases in artificial intelligence design. Work published in 19TH of French National conference of Young Researchers in Artificial Intelligence RJCIA 2021 @ Plate-Forme Intelligence Artificielle PFIA, Bordeaux, France |
2021 | Faculty of Sciences Semlalia, University CADI AYYAD, Marrakesh, Morrocco | 3rd-year university | Jury member Topic: AI in biomolecular modeling for the drug industry |
2019-2020 | ENSC Bordeaux INP, France | 3rd year in engineering school – 1 student | Remote co-supervision in AI: Topic: word prediction in emails |
2019-2020 | Industry – EPSI Bordeaux, France | 3rd year in engineering school – 1 student Part-Time training (in french: alternance) | Supervision in AI Topic: LSTM network interpretability: application to java code |
2019-2020 | Industry – Master SmartEdTech, Université Cote d’Azur, Nice, France | 1 Master student Research Internship | Co-supervision in Cognitive Sciences. Topic: Study and analysis of workplace well-being in the context of knowledge transformation through training: study of learner profiles |
2018- 2019 | Industry – ENSC, Bordeaux INP, France | 2nd year in engineering school – 1 student | Supervision in AI : Topic: Image analysis for emotion detection and recognition |