Ryan Ji
Research Intern at The Cuddapah Lab at Baylor College of Medicine
Houston, Texas, United States
Summary
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Senior🎓
Top SchoolRyan Ji is a computer science student at Rice University with 11 years of practical experience spanning research, teaching, and applied engineering. He’s currently a research intern at The Cuddapah Lab (Baylor College of Medicine) where he built Python tooling and neural-network-backed pipelines to classify seizure behavior in Drosophila, leveraging models like LLaVA-NeXT and Qwen3 on tens of thousands of data points. Prior roles include cybersecurity and business-intelligence research at UT Dallas and mentoring USACO Java students, demonstrating both domain breadth and teaching ability. Ryan combines software engineering, AI/ML, and game-development interests with hands-on data work—writing ~15 production scripts for video segmentation, indexing, and analysis. Notably, his work achieved ~90% accuracy on abnormal movement detection, reflecting an ability to translate cutting-edge models to lab-scale experiments. Based in Houston, he’s open to collaborations that bridge research and applied ML engineering.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Rice UniversityRice University School of Engineering and ComputingGithub contributions (5)
ryancmu/FreshSale
Dec 2014 - Feb 2016
Contributions:2 commits, 2 pushes in 1 year 1 month
ryancmu/PracticumTiversa
Jul 2016 - Sep 2016
Contributions:75 pushes, 1 branch in 1 month
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