Chao Pan is a Staff Research Scientist based in Sunnyvale with 11 years of experience driving multimodal and generative AI across industry leaders like Netflix and JD.com. He blends 9+ years of deep learning expertise in NLP, computer vision/3D graphics, and speech (TTS/ASR) with 3+ years of team leadership, shipping research-driven products such as GAN-based video generation and digital humans. Known for translating cutting-edge research into production features, he has led multimodal teams to innovate in video generation, text generation, and speech synthesis while mentoring engineers into strong technical contributors. With a Master's in Statistics from Rice and a background spanning search, taxonomy, and knowledge-base systems, he pairs rigorous quantitative thinking with practical engineering. An itch for generative AI shows through his GitHub focus on multimodal video, graphics, speech, and NLP—bringing both research depth and product-oriented impact.
11 years of coding experience
10 years of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at Rice University
Bachelor's degree, Management Science, Bachelor's degree, Management Science at Fudan University
Learning Chinese Character style with conditional GAN
Contributions:23 commits, 2 PRs, 26 pushes in 3 months
chineseconditionalganconditional-gancharacter
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