Thomas Boudier

Thomas Boudier is an Associate Professor at Centrale Méditerranée with additional affiliation as Professor Associate at Sorbonne University's Institute of Biology Paris-Seine (IBPS). His research focuses on bioimage informatics, bridging computer science and biological imaging to develop advanced tools for analyzing complex biological structures.

His educational background includes:

• PhD in Bioimage Informatics from Sorbonne University (1994-1997)
• Master's in Computer Vision from Nice Sophia Antipolis University (1992-1993)
• Undergraduate studies in Mathematics from Paris Diderot University (1990-1992)

Dr. Boudier's research spans the intersection of computer science and biological imaging, with particular expertise in 3D image analysis and processing. His work has significantly contributed to developing computational methods for analyzing complex biological structures across multiple scales. He has pioneered approaches for electron microscopy image segmentation, 3D reconstruction of cellular structures, and quantitative analysis of tissue organization. His research has important applications in neuroscience, cancer biology, and regenerative medicine, where precise quantification of cellular and subcellular structures is critical.

His extensive publication record demonstrates consistent innovation in bioimage analysis, with recent work focusing on deep learning applications for electron microscopy, 3D analysis of neuronal structures, and computational modeling of cardiac cells. His development of specialized software tools like TAPAS, Spot Spine, and CardioVinci has provided the research community with valuable resources for automated image analysis.

Throughout his career, Dr. Boudier has maintained strong collaborations across international institutions, including work at Academia Sinica in Taiwan and The Walter and Eliza Hall Institute of Medical Research in Australia. His research laboratory is affiliated with INRIA - National Institute for Research in Digital Science and Technology, where he contributes to advancing computational methods for biological imaging.