Skills
Acquired advanced knowledge in industrial engineering such as scheduling and organization of production cells, development of scheduling tools in a flow-shop and JobShop environment, lean manufacturing, and kanban method (Arena, WinQSB, Lindo, Lingo).
Worked with various CAD and Engineering Tools, such as Design, Manufacturing, Assembly, Maintenanceand Finite Elements(CatiaV5, SOLIDWORKS, AutoCAD, ANSYS).
Significant experience in machine learning applications and control (Big Data, Neural Networks, SVM, Prediction, Identification, Deep Learning) and Optimization Methods (Meta-Heuristic Algorithms, Dynamic Programming and Linear Optimization).
Professional experience at Bombardier Aerospace in the analysis of flight and simulator test (FBW Department).
Professional experience at Bombardier Aerospace in aerodynamic analysis on conventional and unconventional aircraft (Advanced Design Department).
Experience in machine safety, lockout and accident prevention in confined spaces.
Experience in research projects management and supervision of graduate student.
Experience in writing funding applications and setting up research projects.
Familiarity in writing of scientific articles.
Main OS known: Windows / XP, Mac OS X.
Highly proficient with Microsoft Tools: Word, Excel, Access, Outlook, Project.
Highly proficient with other various tools and programming languages: Matlab/Simulink, R, Python, C++.
About
Experienced researcher with 12 years of expertise in various technical domains such as aeronautics, AI, optimization, and occupational health and safety (SST). My journey, marked by successful collaborations with academic and industrial partners, includes research initiatives at Polytechnique Montréal focusing on machine safety, AI, and continuous improvement. My role at Bombardier Aerospace enhanced my training and skills in analyzing data from simulator and flight tests, as well as in the aerodynamic study of aircraft. My commitment to multidisciplinary research and my ability to write scientific publications and grant proposals align seamlessly with the expectations for developing innovative programs within your institution.