𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝗶𝗲𝘀 𝗼𝗳 𝟯 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀• Technical support for the team and assistance in developing tools• Participatory management that improved code quality and tracking ├─ Implementation of a Git charter within the team ├─ Peer code review and validation └─ Launched a Deep Learning training program to enhance team skills• Overall supervision of image processing activities at Isorg, synchronized with French and Chinese teams• Set up bi-weekly individual follow-ups and conducted annual performance reviews𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗽𝗮𝗿𝘁𝗻𝗲𝗿𝘀• Weekly technical meetings with partners• Joint development of a global data processing pipeline• Data acquisition and preparation for algorithm development• Validation of deliverables (software and image processing blocks)Results: Continuous improvement of algorithms and validation of performance specifications with a client𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁 𝗼𝗳 𝗶𝗺𝗮𝗴𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗺𝗼𝗱𝘂𝗹𝗲𝘀 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝘁𝗲𝗮𝗺 𝘀𝘂𝗽𝗽𝗼𝗿𝘁. Development in Python.• Automatic sensor dimensional measurement algorithm in production• Automatic contrast adjustment for video streams• Support for the development of new sensor technologies

𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗮𝗻 𝗶𝗺𝗮𝗴𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗮𝗽𝗽𝗹𝗶𝗲𝗱 𝘁𝗼 𝗳𝗶𝗻𝗴𝗲𝗿𝗽𝗿𝗶𝗻𝘁 𝗶𝗺𝗮𝗴𝗲𝘀. Development in Python. • Collaboration with the R&D manufacturing and electronics teams to understand the sensor's functioning and the origins of artifacts in the images --> Definition of a more optimal digital processing strategy; • Continuous improvement of the image processing pipeline to adapt to changes in the sensor manufacturing process in R&D, as well as tests conducted by customers --> Addressing response time constraints and more extreme testing conditions (e.g., cold, intense light). Patent filing; • Consideration of the organization of processing blocks and the structuring of the parameters for greater flexibility --> Improved efficiency and adaptability of processing.𝗦𝘁𝗿𝗼𝗻𝗴 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘁𝗲𝗮𝗺𝘀 𝗼𝗳 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗽𝗮𝗿𝘁𝗻𝗲𝗿𝘀 • Support to partners for image processing and knowledge sharing on the specificity of Isorg images --> Accelerating the development of external solutions; • Participation in the development of a proof of concept with French Police Forensic Department (SNPS).𝗨𝘀𝗲 𝗼𝗳 𝗶𝗺𝗮𝗴𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝘁𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 𝘁𝗼 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝘀𝗲𝗻𝘀𝗼𝗿 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝘁𝗲𝗮𝗺𝘀. Development in Python. • Study on the influence of the elements composing the imaging modules on the produced images --> Assisting decision-making and understanding production issues; • Production of an analysis tool for defect maps to classify sensors --> Supporting production quality monitoring and improving the quality of produced modules; • Patent filing on an element of the imaging module.

Consulting and technical expertise for Isorg on issues related to image processing

During my PhD at the Laboratoire d’Imagerie Biomédicale (Biomedical Imaging Laboratory) supervised by Lori Bridal, I took part in the research project of studying the benefits of ultrasound imaging for the characterization of tumor heterogeneity and during therapeutic follow-up.The main activities I carried out were:- The design of experiments, and then the acquisition and the processing of the data. The data processing has been done using signal and image processing tools that I implemented with Matlab.- I learned the theory and the practical use of ultrasound imaging technics with the help of previous PhD candidates of the lab and the reading of scientific papers.- I worked in an international multidisciplinary environment. This helped me to open new research perspectives and to find expertise outside from the lab to make the project progress. I interacted with oncologists, radiologists and biologists, French and international researchers, and also technicians and engineers working at imaging platforms.- I actively participated in the development of the biological samples analysis project in the lab by the organization and leading of meetings with external labs.- I co-supervised two internship students who helped me to make progress on my project. One was working on the biological samples analysis project and the other on the modeling of tumor growth project.- My work has been presented at 6 international conferences (IUS-IEEE and AACR).My work helped the lab to make progress on the challenge of comparing ultrasound data to biological data, but also helped to bring new perspectives of research on the combined use of all the acquired data. My dedication, perseverance and curiosity were strong advantages to be able to carry out my research work.