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David Van Valen

Howard Hughes Medical Institute · US
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Area of research
Molecular Biology · Biophysics
Research interest
Research interests include Cell Image Analysis Techniques, Single-cell and spatial transcriptomics, Protein Structure and Dynamics, and Image Processing Techniques and Applications.
h-index
21
citations
5,369
works
57
NIH funding
primary concept
email

Recent publications

CellSAM: a foundation model for cell segmentation
Nature Methods 2025cited by 17position: lastdoi
Automated classification of cellular expression in multiplexed imaging data with Nimbus
Nature Methods 2025cited by 6position: middledoi
The multimodality cell segmentation challenge: toward universal solutions
Nature Methods 2024cited by 136position: middledoi
Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning
Cell Systems 2024cited by 22position: lastdoi
Ten challenges and opportunities in computational immuno-oncology
Journal for ImmunoTherapy of Cancer 2024cited by 10position: middledoi
A spatially resolved timeline of the human maternal–fetal interface
Nature 2023cited by 166position: middledoi
Biomonitoring and precision health in deep space supported by artificial intelligence
Nature Machine Intelligence 2023cited by 55position: middledoi
Biological research and self-driving labs in deep space supported by artificial intelligence
Nature Machine Intelligence 2023cited by 48position: middledoi
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions
arXiv (Cornell University) 2023cited by 15position: middledoi
The immunoregulatory landscape of human tuberculosis granulomas
Nature Immunology 2022cited by 294position: middledoi
Single-cell metabolic profiling of human cytotoxic T cells
Nature Biotechnology 2020cited by 321position: middledoi
Deep learning for cellular image analysis
Nature Methods 2019cited by 1,255position: lastdoi
Voices in methods development
Nature Methods 2019cited by 7position: middledoi
A Structured Tumor-Immune Microenvironment in Triple Negative Breast Cancer Revealed by Multiplexed Ion Beam Imaging
Cell 2018cited by 1,164position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Michael Angelo · Stanford University4 papers (2018–2025)Sean C. Bendall · Stanford University3 papers (2018–2025)Noah F. Greenwald · Stanford University3 papers (2020–2025)William D. Graf · California Institute of Technology3 papers (2019–2024)Zumana Khair · Stanford University2 papers (2020–2023)Hadeesha Piyadasa · Palo Alto University2 papers (2023–2025)Marc Bossé · Stanford University2 papers (2018–2023)Yisong Yue · Howard Hughes Medical Institute2 papers (2024–2025)Emily Laubscher · California Institute of Technology2 papers (2024–2025)Xuefei Wang · Union Hospital2 papers (2024–2025)Travis J. Hollmann · Bristol-Myers Squibb (United States)2 papers (2023–2025)Leeat Keren · Weizmann Institute of Science2 papers (2018–2023)Edward Pao · California Institute of Technology2 papers (2024–2025)Inna Averbukh · Stanford University2 papers (2023–2025)Alex Baranski · Stanford University2 papers (2020–2023)Reema Baskar · Bioinformatics Institute1 papers (2020–2020)Dagmar Kainmueller · Max Delbrück Center1 papers (2025–2025)Daoud Meerzaman · Roswell Park Comprehensive Cancer Center1 papers (2024–2024)Eleni A. Greenwood · University of California, San Francisco1 papers (2023–2023)Jill S. Barnholtz‐Sloan · Emory University1 papers (2024–2024)
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