Thomas Walter

Thomas Walter is a Professor at Mines ParisTech and Director of the Centre for Computational Biology (CBIO), a research group affiliated with the Institut Curie and INSERM. His work focuses on applying Machine Learning and Computer Vision to biomedical image analysis, particularly in high-content screening and computational pathology. He also serves as Deputy Director of the Computational Oncology (U1331) unit and leads the Statistical Learning and Modeling of Biological Systems team.

• PhD in Medical Image Analysis (2003, Mines ParisTech)
• Postdoctoral work at EMBL (European Molecular Biology Laboratory)
• Director of CBIO since 2018
• Holder of a PRAIRIE Chair (Paris Artificial Intelligence Research Institute) since 2019

Dr. Walter's research bridges biomedical imaging, machine learning, and cancer genomics. Key areas include:

• Statistical reconstruction of biological networks
• Prediction of tumor progression at genomic/transcriptomic levels
• Development of deep learning methods for cell cycle analysis
• Integration of multi-omics data for precision oncology
• Tools for spatial transcriptomics (e.g., autoFISH, RNA2seg)

Recent publications highlight his work in spatial transcriptomics, immunotherapy outcome prediction, and deep learning for digital pathology. His team has developed open-source tools like FISH-quant and pyHiM for single-molecule RNA imaging analysis.

Scientific Honors:

• PRAIRIE Chair (2019) for AI research in life sciences

Dr. Walter actively contributes to teaching deep learning for image analysis in multiple graduate programs across France, including courses at Mines ParisTech, Université Paris-Saclay, and Institut Curie. His software tools (FISH-quant, pyHiM) and methodological frameworks (e.g., Cut-Detector, PointFISH) have become standard resources in bioimage informatics.