Yifan Peng
Research Scientist at NVIDIA
California, United States
Summary
🤩
Rockstar🎓
Top SchoolYifan Peng is a research scientist based in California with nine years of experience focused on multimodal large language models and speech AI. Currently at NVIDIA, he builds multimodal LLMs and full‑duplex speech-to-speech systems, drawing on a PhD in Electrical and Computer Engineering from Carnegie Mellon where he also taught speech recognition courses. His internships at Meta and ASAPP and a prior NVIDIA research internship reflect a consistent track record in voice-preserving translation, speech model compression, and speech-language modeling. Known for combining rigorous academic training (4.0 GPA at CMU, top-ranked undergraduate at Tsinghua) with applied research, he bridges cutting-edge model research and deployable speech systems.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE, Electronic Information Science and Technology, GPA: 3.96/4.00, Ranking: 2/262, Bachelor of Engineering - BE, Electronic Information Science and Technology, GPA: 3.96/4.00, Ranking: 2/262 at Tsinghua UniversityDoctor of Philosophy - PhD, Electrical and Computer Engineering, 4.00/4.00, Doctor of Philosophy - PhD, Electrical and Computer Engineering, 4.00/4.00 at Carnegie Mellon University
Chinese, English
Github Skills (74)
speech-processing10
speech-enhancement10
text-to-speech10
voice-conversion10
deep-learning10
speech10
compression10
machine-translation10
multimodal10
nmt10
generative-ai10
nlp-machine-learning10
speech-synthesis10
speaker-diarization10
speech-to-text10
Programming languages (4)
Github contributions (5)
pyf98/pyf98.github.io
Jul 2022 - Sep 2024
Personal webpage
Contributions:132 pushes, 6 branches in 2 years 2 months
reactpersonal-webpagewebpage
pyf98/shinjiwlab.github.io
Sep 2021 - Feb 2023
Contributions:72 pushes, 30 branches in 1 year 4 months
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