Nicolas Damond
Associate Director, Computational Pathology Biomarker Lead
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolNicolas Damond is an Associate Director in Computational Pathology with 10 years of life sciences experience, currently leading a cross-functional team at AstraZeneca to develop AI-driven tissue biomarkers that guide patient selection across oncology trials. A biologist by training with a PhD and six years of hands-on expertise in multiplexed imaging and spatial single-cell analysis, he translates complex spatial biology into actionable translational and strategic insights from preclinical to Phase 3. He previously built computational workflows and bioinformatics tools in the Bodenmiller lab to study Type 1 Diabetes, combining Imaging Mass Cytometry, AI image analysis and experimental biology. Known for bridging experimental and computational worlds, he excels at turning high-dimensional tissue data into diagnostics-ready biomarkers and partnering with external diagnostics teams to drive clinical implementation.
10 years of coding experience
1 year of employment as a software developer
Master’s Degree, Master of Science (M.Sc.) in Genomics and Experimental Biology, Master’s Degree, Master of Science (M.Sc.) in Genomics and Experimental Biology at University of Lausanne (Switzerland)Doctor of Philosophy (Ph.D.), Biology, Doctor of Philosophy (Ph.D.), Biology at University of Geneva
French, English
Github Skills (26)
denoising10
docker-image9
ubuntu9
imaging9
segmentation9
image-registration9
cellprofiler9
microscopy8
classification8
image-segmentation8
pipeline8
spatial-analysis8
image8
r-package8
image-processing7
Programming languages (4)
Github contributions (5)
BodenmillerGroup/imcdatasets
Nov 2020 - Dec 2022
ExperimentHub collection of imaging mass cytometry datasets
Contributions:10 reviews, 124 commits, 19 PRs in 2 years 1 month
imaging
ndamond/IMCMapper
Sep 2018 - Jan 2021
Contributions:3 pushes, 3 branches in 2 years 3 months
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