Yuanqi Xie

• Position: Lecturer
• Department: Computer Science
• Office Location: Building 4, Room 331
• yxie@uwf.edu
• Campus: 850.474.3241

Biography

Yuanqi Xie is a lecturer in the Department of Computer Science. She holds dual M.S. degrees in Computer Science from Vanderbilt University and Biomedical Engineering from Case Western Reserve University. At the University of West Florida (UWF), she teaches discrete structures and algorithm and program design courses, emphasizing problem-solving and analytical thinking. Yuanqi is dedicated to creating an inclusive and engaging classroom environment, helping students build a solid foundation in computational theory and practical application.

While her primary focus is teaching, Yuanqi is also actively involved in research. Her main research area centers around the Neural Mechanisms of Working Memory Accuracy, where she trains recurrent neural networks (RNNs) to simulate spatial working memory tasks. She explores how network activity influences cognitive performance, comparing fully trained and immature networks to identify critical parameters for memory maintenance.

In addition to her work in neural modeling, Yuanqi has experience applying machine learning techniques to biomedical imaging. She has contributed to projects on analyzing lung cancer images and using radiomic features to predict immunotherapy outcomes. Her research has been published in peer-reviewed journals, and she holds patents on advanced image-processing methods.

Yuanqi’s interdisciplinary expertise enables her to guide students in bridging computer science and biomedical research, encouraging them to tackle complex problems with innovative, cross-disciplinary approaches. She strives to inspire her students to apply their skills meaningfully, preparing them for successful careers in academia, industry, or research.

Degrees & Institutions

• Master of Science in Computer Science - Vanderbilt University
• Master of Science in Biomedical Engineering - Case Western Reserve University
• Bachelor of Science in Biotechnology - Northwest University

Research

• Machine Learning for Medical Imaging
• Neural Network Models in Neuroscience
• Radiomics and Precision Medicine
• Predictive Modeling in Cancer Therapy
• Biomedical Signal Analysis
• Deep Learning and Adversarial Examples
• Mathematical Modeling of Epidemics