Katia Chardon

PhD student in Neuroimaging and Artificial Intelligence

Work Experience

November 2024 - now Neurophysics team, NeuroSpin, CEA, France

• PhD under the direction of Davide Boido, Luisa Ciobanu and Charles Laidi.
• Functional connectivity and excitability of the cerebellum in schizophrenia patients and mouse models.

April - October 2024 Neurophysics team, NeuroSpin, CEA, France

• Internship supervisors : Davide Boido and Charles Laidi.
• Exploration of Functional Connectivity in a mouse model of schizophrenia.

May - August 2023 PARIETAL team, INRIA Saclay, France

• Internship supervisors : Bertrand Thirion, Apolline Mellot and Thomas Chapalain.
• Brain age prediction with MEG data.

September 2022 - May 2023 Maison du doctorat, Université Paris-Saclay, France

• Working under the direction of Hamida Muller.
• Civic Service. Ambassador of the medical and social support systems for doctoral students.

May - June 2021 ERIAS Team, Institut de santé publique, d’épidémiologie et de développement, Bordeaux, France

• Internship supervisors : Gayo Diallo and Marina Boudin.
• Set up of a database and a graphical interface, and data visualization for the OREGANO project.

Education

2023 - 2024 Institut Polytechnique de Paris, France

• Master 2 Data and AI.
• Subjects : Image mining and content-based retrieval, Natural Language Processing and Speech Processing, Advanced Deep Learning, Deep Learning for Computer Vision, Medical Imaging, Representation Learning for Computer Vision and Medical Imaging, Neurosciences.
• President of IPPERMACULTURE, a shared garden project on the campus.

2022 - 2023 Institut Polytechnique de Paris, France

• Master 1 Data and AI.
• Subjects : Data Visualization, Data Bases, Advanced Machine Learning and Autonomous Agents, Natural Language Processing, Reinforcement learning, Computer vision, Data Stream Mining, Introduction to Deep Learning.
• Team leader of the communication team of the IPP Racing Team.

2021 - 2022 University of Helsinki, Finland

• Semester abroad. Subjects : Introduction to Machine Learning and Artificial Intelligence, Project in Data Science.

2019 - 2022 Université de Bordeaux, France

• Bachelor. Master’s Degree in Statistical Engineering and Computer Science.

Skills

Languages:

• French (Native)
• English (B2, TOEFL 610 pts)
• Spanish (B1, DELE)
• Russian (Native)

Programming Languages:

• Python (numpy, pandas, scikit-learn, pytorch)
• R
• C/C++
• MATLAB
• SQL

Software and Tools:

• Git
• FSL
• SPM