Summary
Ranya Almohsen is a Postdoctoral Associate and recent PhD in Computer Science with eight years of experience applying machine learning and deep learning to computer vision and computational biology problems. Currently at Baylor College of Medicine, she develops deep models for single-cell RNA-seq analysis and collaborates across AI and bioinformatics to publish in top-tier venues. Her prior work includes advancing face detection, person re-identification, open-set classification, and novelty detection in a computer vision lab, complemented by early industry experience building government applications with Oracle. Comfortable in on-site, remote, and hybrid roles, she brings both theoretical rigor and practical engineering skills to interdisciplinary teams. An often-overlooked strength is her ability to translate complex biological signals into scalable ML models, bridging domain expertise and production-ready solutions.
8 years of coding experience
5 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at West Virginia University
Computer Science, 98.9%, Computer Science, 98.9% at First High School
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at King Saud University