People

Sophie Eliet, Research Engineer 🇫🇷.

Sophie Eliet earned her Ph.D. in Physics from the University of Littoral Côte d'Opale (Dunkerque, France) in 2013, focusing on TeraHertz spectroscopy of volatile and radical organic compounds. Since 2015, she has been a CNRS engineer at IEMN and currently oversees the Hyperfrequency, Optical, and Photonic Characterization center. As a laureate of a national young researcher grant, she developed a research program on the characterization of aerosols using TeraHertz spectroscopy, with applications in atmospheric science and the planet’s radiative balance.

Adrien Pillet, Research engineer 🇫🇷

Ingénieur centralien specializing in mechanical design, held the position of research engineer in the COBRA/Diagnotera/Teracov project from March 2021 to October 2023. His role within the project was to design a prototype medical device including a TDS with the aim of analyzing volatile organic compounds present in breath, leading to a patent. He established the link between the laboratory and the various departments of the Lille University Hospital, in particular the CICIT, to bring the device up to standard. In addition, he worked with Professor Régis Matran and Sébastien Hulo's team to define the relevant studies to be carried out in order to obtain proof of concept. Adrien Pillet also led the design studies for the Terahertz microscope and the manufacture of the TPX lenses.

Elsa Denakpo, Research engineer 🇧🇯 🡆 🇫🇷

Having graduated from Ensimag in 2020 with a Master's degree in Applied Mathematics, Elsa academic career has been consolidated through a variety of professional experiences. Her end-of-studies internship at EDF Lab Paris-Saclay was dedicated to optimizing nuclear reactor loading plans. After the Masters, She worked whith us as a signal processing research engineer. Her role was to analyze Terahertz spectroscopy signals measured in the time domain from air samples exhaled by patients. Specializing in data analysis, mathematical optimization and machine learning, She have been pursuing her research work as PhD student at ICSN since November 2022, on the prediction of antibiotic resistance using machine learning. 

Louis Thomas Post doc 🇫🇷 🡆 🇵🇱 🡆 🇫🇷 

is an expert in Scanning Probe Microscopy. After an initial training at UJ Kraków, he enrolled in a PhD program at IEMN. After graduating, he joined the THz Photonics group as a postdoctoral researcher to develop the THz s-SNOM technique. He is now CNRS research engineer on the SPM  facility of IEMN.

Juliette Vlieghe, Master student 🇫🇷 🡆 🇩🇰

Hi!

I am a PhD student at DTU (Technical University of Denmark). I study theoretical computer science.
Research interests : the focus of my research is the design of algorithms for graphs (networks), with an emphasis on dynamic graphs. My goal is to come up with efficient algorithms and understand the complexity of these problems. I also have a strong interest in quantum information theory and quantum computing. I am curious about physics related problems in general.
Previously : I studied photonics in the Institut d'Optique Graduate School (Supoptique). During this master, I had the chance to work on two very exciting projects as a research intern: first at IEMN with Romain on the Fit@TDS software, and later at IJCLab with Julien Peloton on a data science / astrophysics project. Then I went to DTU to study artificial intelligence, and got into algorithms instead.

Nabil Vindas, Master student 🇨🇷 🡆 🇫🇷 

PhD fellow at the Paris Saclay University and Neurospin (CEA) laboratory in France. My research focuses on the study of the normal and pathological ageing of cortico-cortical fiber bundles by diffusion MRI using data processing and machine learning techniques. Moreover, my PhD thesis is based on the UK Biobank database composed of over 37 000 subjects with diffusion and structural MRI data. Hence, in order to do the necessary computations to carry my thesis, I used the Très Grand Centre De Calcul (TGCC) supercomputer affiliated with our laboratory (CEA, France). My algorithms are implemented in C++, parallelized via OpenMP, and in Python, parallelized via multiprocessing. My thesis is part of the Human Connectome Project (HBP) ant its goal is to use U-fiber atlases developed in the context of the HBP to study the changes occurring in cortico-cortical connectivity during ageing. In our project, I am responsible for developing and executing the algorithms needed for Superficial White Matter segmentation and subsequent statistical analysis, which can be accessed at https://github.com/vindasna/GeoLab