Caroline Wang is a bioinformatics master's student at the University of Michigan with eight years of research and technical experience applying computer science to medical problems. She currently develops deep learning segmentation and tracking pipelines for pelvic floor ultrasound, combining models like DeepLab and MedSAM with signal-processing enhancements to improve diagnostic metrics for incontinence. Her background in data science and prior research analyzing health predictors and species distribution modeling gives her a strong quantitative foundation and cross-disciplinary perspective. She has also taught coding to younger students and served in newsroom roles, demonstrating clear communication skills and an ability to translate complex analyses for diverse audiences. Caroline is based in New York and brings a pragmatic focus on turning imaging research into clinically useful tools.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Bioinformatics, Master of Science - MS, Bioinformatics at University of Michigan
Contributions:2 commits, 1 push, 1 branch in 2 months
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