معرفی
Constantin Pape is a Junior Professor at Georg-August University Göttingen in the Institute of Computer Science, where he leads the Computational Cell Analytics research group since March 2022. His work focuses on developing deep learning and AI methods for biology and medicine, with particular emphasis on biomedical imaging applications.
His research spans two main areas: building foundation models for biology and medicine, and protein structure analysis in cryogenic electron microscopy and super-resolution microscopy. Dr. Pape's group is dedicated to open source and open science, contributing to projects like the bioimage.io modelzoo, ome.ngff image data format, and MoBIE Fiji plugin. His research is funded by the DFG through a Sachbeihilfe, the SFB1286 on Quantitative Synaptology, and the Multiscale Bioimaging Cluster of Excellence (MBExC).
Dr. Pape's work on foundation models includes Segment Anything for Microscopy (Nature Methods, 2025) and extensions to histopathology and medical imaging. His group develops segmentation models for various applications, including SynapseNet for automatic synapse reconstruction. He has published extensively in top venues including Nature Methods, Cell, Science, and ECCV.
His teaching includes a lecture on Deep Learning for Computer Vision and seminars on Deep Learning in Biology and Medicine at the University of Göttingen, as well as co-organizing the Deep Learning for Image Analysis course at EMBL and teaching advanced image analysis through the Hertha Sponer College.
