Hongyi Liu
Graduate Research
Baltimore, Maryland, United States
Summary
👤
Senior🎓
Top SchoolHongyi Liu is a PhD student and graduate researcher at Johns Hopkins University specializing in computer graphics, computational geometry, optimal transport, and shape analysis under Prof. Michael Kazhdan. With nine years of experience across academic research, teaching assistantships, and industry internships, he blends rigorous theory with practical tooling—evidenced by his Google Summer of Code work on implicit surface reconstruction for CGAL. He holds an MS in ECE and is completing a PhD in Computer Science, after graduating in the top 5% from UM-SJTU Joint Institute (SJTU). Hongyi has contributed to projects spanning medical image analysis, molecular machine learning, and scalable AI for IT operations, showing a habit of moving between domains to tackle geometry- and data-driven problems. Based in Baltimore and having studied at NYU Shanghai and UIUC, he pairs multicultural academic training with hands-on software development and an unexpected detour into commercial photography that hints at a strong visual sensibility.
9 years of coding experience
1 year of employment as a software developer
Johns Hopkins UniversityBachelor of Engineering - BE, Electrical and Computer Engineering, top5%, Bachelor of Engineering - BE, Electrical and Computer Engineering, top5% at UM-SJTU Joint Institute, Shanghai Jiao Tong University
Github Skills (4)
statistic3
visualize1
javascript1
dashboard1
Programming languages (2)
Github contributions (5)
hl2638/ML_Midterm_2018
Oct 2018 - Jun 2020
Contributions:13 commits, 10 pushes, 1 branch in 1 year 8 months
hl2638/ICM-final
Apr 2018 - Dec 2019
Contributions:14 pushes, 1 branch in 1 year 8 months
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