Chen Institute Homepage
/
People
/
David Van Valen
David Van Valen
Assistant Professor of Biology and Biological Engineering; Investigator, Heritage Medical Research Institute; HHMI Freeman Hrabowski Scholar
The Van Valen group studies how living systems and their respective viruses encode and decode information about their internal state and their environment by combining ideas from cell biology and physics with recent advances in imaging, machine learning, and genomics to make novel measurements.
Publications
- Laubscher, Emily;Wang, Xuefei (Julie) et al. (2024) Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learningCell Systems
- Ma, Jun;Xie, Ronald et al. (2024) The multimodality cell segmentation challenge: toward universal solutionsNature Methods
- Israel, Uriah;Marks, Markus et al. (2024) A Foundation Model for Cell SegmentationbioRvix
- Sockell, Alexandra;Wong, Wing et al. (2023) A microwell platform for high-throughput longitudinal phenotyping and selective retrieval of organoidsCell Systems
- Greenbaum, Shirley;Averbukh, Inna et al. (2023) A spatially resolved timeline of the human maternal–fetal interfaceNature
- Scott, Ryan T.;Sanders, Lauren M. et al. (2023) Biomonitoring and precision health in deep space supported by artificial intelligenceNature Machine Intelligence
- Sockell, Alexandra;Wong, Wing et al. (2022) A microwell platform for high-throughput longitudinal phenotyping and selective retrieval of organoids
- Andrews, Brenda;Chang, Jae-Byum et al. (2022) Imaging cell biologyNature Cell Biology
- Miguel, Amanda;Zietek, Matylda et al. (2022) Modulation of bacterial cell size and growth rate via activation of a cell envelope stress response
- Greenwald, Noah F.;Miller, Geneva et al. (2022) Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learningNature Biotechnology