Summary
Jie Ni is a research-focused software engineer and data scientist with nine years of practical experience applying machine learning and clustering techniques to biological and healthcare data. Currently a Research Assistant at the University of Tennessee Health Science Center, Jie leverages a strong background in mathematics and computer science to turn messy datasets into actionable insights for healthcare research. Past roles include bioinformatics research at the University of Memphis and a data analyst internship with the U.S. Navy, where Jie built predictive models and visualizations using Python, pandas, and scikit-learn. Interests span gradient-free optimization, computer vision, graph theory, distributed systems, blockchain, and IoT, reflecting a breadth that bridges theory and applied projects. Notably, Jie took a deliberate break from formal study to gain domain-specific research experience before pursuing graduate school, demonstrating a strategic, hands-on approach to career development.
9 years of coding experience
1 year of employment as a software developer
Mathematics and Computer Science, GPA: 3.53, Mathematics and Computer Science, GPA: 3.53 at University of Memphis
Chinese, English