Xinhai (Renly) Hou

Lab alum

Xinhai (Renly) Hou

M.S., Bioinformatics, University of Michigan

Graduate Researcher

Research

Research areas

  • Deep learning for bioimaging
  • Multimodal machine learning
  • Nuclear morphology

Training

Education

  • M.S.Bioinformatics, University of Michigan
  • B.S.Statistics, Chinese University of Hong Kong, Shenzhen

Background

Renly Hou worked in the Athey Lab on machine learning for biomedical imaging, co-advised with Todd Hollon. With the lab he contributed to the study of valproic acid induced changes in nuclear morphology in astrocytes and to foreground-aware virtual staining for three dimensional cell morphological profiling. His wider graduate work applies self-supervised and multimodal learning to clinical problems, including label-free optical imaging of brain tumors and the integration of imaging, genomic, and language data for patient survival prediction.

Athey Lab publications

4 publications