Paul Kiessling
Paul Kiessling is a doctoral candidate in the Kuppe Lab at RWTH Aachen University, Germany, where he specializes in the development and application of computational frameworks for spatial transcriptomics. His research focuses on bridging the gap between high-dimensional spatial data and clinical translation, with a particular emphasis on deciphering the architecture of cardiovascular and renal diseases, as well as advancing ADC-therapy strategies in bladder cancer.
Paul has contributed to high-impact research published in journals such as Nature Methods and Nature Biotechnology, focusing on spatially aware clustering and the characterization of disease-specific transcriptional states. His unique professional profile combines a strong computational focus with extensive wet-lab experience in protein engineering and antibody discovery, gained through research tenures at Bayer AG and UCB Pharma. This interdisciplinary background allows him to develop analysis algorithms that are both technically robust and biologically grounded. Paul holds an MSc in Biosciences from the University of Münster and a BSc in Biotechnology from Mannheim University of Applied Sciences. He is currently finalizing his doctoral research and is expected to graduate by the end of 2026.
Sessions
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Polyploid Cardiomyocytes Define Niche-Specific Transcriptional States in the Mammalian Heart04-Jun-2026Spatial Stage