About
Summary
Recent graduate in cognitive science with a strong foundation in software engineering. I am seeking opportunities to contribute to research and development in cognitive modeling and educational cognitive neuroscience. My interests include adaptive learning systems for neurodiverse students (particularly ASD and ADHD), neurocognitive mechanisms in educational contexts, cognitive modeling and simulation for intervention design, educational technology for accessibility, and advancing open science and reproducibility in cognitive modeling.
Positions
Freelance/Consultant Software Engineer Jan 2020 - Jul 2023
- Provided software engineering and consulting services to diverse clients in Togo and Senegal.
- Collaborated with developers, project managers, designers, and stakeholders to complete projects.
- Worked with a variety of technologies, including Java, Python, Node.js, and React.js.
- Engineered data management systems integrating REST and GraphQL APIs to streamline data flow.
- Automated data workflows using Python, Bash, and SQL for data heavy applications.
- Tested and maintained applications with a focus on reliability, performance, and security.
- Notable clients included Quadra AO, Altech Software, Dashmake and Groupe Idyal.
Research intern Apr 2019 - Sep 2019
École Supérieure Polytechnique
- Researched the automatic classification of paroxysmal interictal events using artificial neural networks in drug-resistant epilepsies.
- Conducted a literature review, collected EEG data from online sources, and processed and analyzed the data.
- Gained experience in research methodology and academic writing.
- Learned the fundamentals of machine learning and data science.
Education
University of Lorraine
Field of study: Psychology
Degree: Diplôme Universitaire in Disabilities and ASD
Grenoble INP - Phelma 2023 - 2024
Field of study: Cognitive Science
Degree: M.Sc.
Université Cheikh Anta Diop 2017 - 2019
Field of study: Computer Engineering
Degree: M.Sc.
Groupe ISM 2015 - 2017
Field of study: Computer Science for Management
Degree: B.Sc.
Skills
Cog. Sci. Research: OpenSesame, PsychoPy, Unity
Data analysis : NumPy, Pandas, SciPy, StatsModels, Matplotlib, Seaborn
Modeling and AI: PyTorch, TensorFlow, scikit-learn
Programming : Python, C++, MATLAB
VCS & Project management : Git, GitHub, Azure DevOps
DevOps tools : Bash, Docker, Makefile, GitHub Actions, SonarQube
Language: French (Native), English (B2)
Professional interests
Adaptive learning systems for neurodiverse students, neurocognitive mechanisms in educational contexts, cognitive modeling and simulation for intervention design, educational technology for accessibility
Keywords: Adaptive learning systems, AI/ML, cognitive modeling, computational cognitive science , Computational Neuroscience, EEG, fMRI, Learning and memory, open science, reproducibility, special education