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Emmanuel Rachelson

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Responsibilities

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2016-now
Head of the Supaero Reinforcement Learning Initiative


Scientific animation, mentoring, and group development. RL topics, with extensions to Neural Networks, Optimization, and applications website

2019-2020
Head of the Decision Systems research group


6 permanent researchers, around 20 PhD students. The SD group focuses on decision making topics within the DISC department. Under my lead, we hired 3 new profs and re-focused the group’s core scientific project.

2015-2019
Head of the Data and Decision Sciences program (within the Decision Sciences major)


Academic team management (almost all courses), administrative tasks, curriculum evolutions (contents, teaching methods), networking, student advising. website

2015-2017
Head of the Decision Sciences final year major


Academic team management (common core training), administrative tasks, curriculum evolutions (contents, teaching methods), networking, student advising.
Growth : from 60 to 110 students in 3 years.
I resigned from this responsibility (after bringing the major to a stable nominal operating point) to focus more on research (in particular on the animation of SuReLI).

2013-2015
Coordinator for the design of the Decision Sciences final year major (240 hours)


This major offers a common core on the scientific foundations in decision making (Statistics, Optimization, Decision Theory) and three distincts tracks in "Industrial Engineering", "Finance" and "Data and Decision Sciences".
Participation in the definition of the new global ISAE-SUPAERO training cursus. Animation and coordination of the Decision Science major’s design. Animation and coordination of the "Data and Decision Sciences" track’s design. Construction of classes and contents for the common core training and the "Data and Decision" track.

2012-2015
Head of the Intelligent Decision Systems final year minor (180 hours)


Complete re-design of the minor’s contents. Changed the focus to decision support disciplines : statistics, machine learning, optimization, AI, databases. Introduced student projects and conferences.
Growth : from 10 to 30+ students in two years.

For an overview of the Data and Decision Sciences program, see our non-official website.

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