Chengzhe Sun
Assistant Director (Student Fellow) For Technical Systems at University at Buffalo School of Engineering and Applied Sciences
Buffalo, New York, United States
Summary
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Senior🎓
Top SchoolChengzhe Sun is a PhD candidate in Computer Science at the University at Buffalo who blends hands-on engineering with lab and project leadership in media forensics, focusing on AI-generated audio and deepfake audio detection. As Assistant Director (Student Fellow) for Technical Systems at IAD and Lab & Project Manager at the UB Media Forensics Lab, he architects data-driven platforms like the Deepfake O-Meter and led development of a centralized faculty expertise database to support research funding. With an interdisciplinary background in data science, mathematics, business administration, and audio engineering, he translates research prototypes into secure, scalable systems. His eight years of experience span academic research, applied data analysis, and industrial R&D— including audio generation work at DART Collective. Comfortable with both data architecture and model development, he bridges academia and operational deployment to make forensic tools production-ready. Colleagues often note his knack for turning complex signal-processing research into practical pipelines and public-facing platforms.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University at BuffaloHigh School Diploma, English Language and Literature, General, High School Diploma, English Language and Literature, General at Beijing Foreign Studies University
English, ChineseProgramming languages (2)
Github contributions (5)
csun22/LibriVoc-Dataset
Jan 2023 - Jan 2023
Contributions:14 commits, 12 pushes, 2 comments in 6 days
csun22/Synthetic-Voice-Detection-Vocoder-Artifacts
Apr 2023 - Apr 2025
Contributions:9 pushes, 20 comments, 16 issues in 2 years
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