Summary
Richard Wen is a PhD student and research intern specializing in parallel algorithms and approximate nearest neighbor search, currently working with Laxman Dhulipala at the University of Maryland and interning at Microsoft. With eight years of experience spanning research, education, and software development, he brings a strong mathematical foundation from Rutgers and hands-on systems work from projects like sketching algorithms for databases. He has a knack for translating theoretical insight into practical code—evident from backend debugging on educational games and building web/database tools for a tutoring institute. Comfortable teaching at multiple levels, he blends clear communication with rigorous research methods, making him effective in both collaborative labs and product-focused engineering teams.
8 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Union County Magnet High School
Bachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at Rutgers University–New Brunswick
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Maryland