Yang Gao
Senior Machine Learning Engineer at Apple
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolYang (Yolanda) Gao is a Senior Machine Learning Engineer based in Cupertino with nine years of experience bridging generative AI research and production-grade speech systems. A CMU Ph.D. alumnus who worked in the MLSP group, she has deep expertise in speech synthesis, speaker recognition, spoofing detection, and real-time AIGC audio pipelines, with roles at Apple, AWS, Amazon, and startups deploying low-latency noise cancellation and accent conversion. Her work spans both research and product: publishing and prototyping detection methods for generative audio while shipping voice generation and Siri Intelligence features at scale. Comfortable across audio, NLP, and vision, she often translates academic advances into robust engineering solutions for real-time services. An uncommon thread in her career is repeatedly moving between foundational research and applied deployment, which helps her anticipate adversarial and safety challenges in generative speech.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BS) Bioengineering, Bachelor of Science (BS) Bioengineering at Huazhong University of Science and TechnologyDoctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at Carnegie Mellon University
English, Chinese
Github Skills (20)
computer-vision8
dlib8
machine-learning7
python7
cpp6
deep-learning6
opencv6
distortion5
speech5
denoising5
cmake5
perceptual5
data-science4
speech-processing4
data-analysis4
Programming languages (2)
Github contributions (5)
Yolanda-Gao/Interactive-Style-TTS
Oct 2019 - Oct 2020
Contributions:32 commits, 25 pushes in 1 year
Yolanda-Gao/VoiceGAN
Oct 2017 - Apr 2019
Contributions:15 commits, 16 pushes, 1 branch in 1 year 5 months
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