Summary
Yasmin Kassim is a Postdoctoral Scientist and deep learning expert with eight years of experience applying advanced biomedical image processing to both academic and industry projects. She has held roles at UC San Diego, NIH, and Akoya Biosciences, where she translated research-grade methods into production-ready image analysis workflows that drove measurable research and product outcomes. A PhD in Computer Engineering underpins her work, which is distinguished by award-winning publications and a sustained focus on biomedical applications of ML. Equally comfortable in collaborative industrial teams and academic labs, she combines rigorous experimentation with pragmatic engineering to accelerate translational research. Based in Elk Grove, CA, she continues to bridge code and science—advocating for reproducible, open approaches to biomedical imaging that others can build on.
8 years of coding experience
2 years of employment as a software developer
University of Missouri