Ray Wen is a research-focused software engineer with 11 years of experience bridging academic machine learning and production software development. Currently a Research Assistant at NYU Langone after a funded research stint and independent study at the University of Toronto, he combines rigorous CS and statistics training (BSc with high distinction) with an MS in Computer Science from NYU. His background includes system-level engineering at Intel and hands-on lab work building PyLens, BPTT networks, and tooling like pre-commit systems, reflecting both research depth and practical engineering discipline. Comfortable moving between experimental ML code and production-grade systems, he brings proven debugging and implementation skills across Python, PHP, and large-team environments. Based in New York, Ray’s profile suggests a knack for turning research prototypes into maintainable code and a preference for projects that demand both theoretical understanding and engineering rigor.
11 years of coding experience
3 years of employment as a software developer
High School Diploma, High School Diploma at Pacific American School
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at New York University
Honours Bachelor of Science with High Distinction, Computer Science and Statistics, 3.76, Honours Bachelor of Science with High Distinction, Computer Science and Statistics, 3.76 at University of Toronto
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Ray Wen - Research Assistant at NYU Langone Health