Summary
Heming Wang is a Senior Applied Scientist with 11 years of experience specializing in speech enhancement, self-supervised learning, and generative AI, currently driving speech-to-speech foundation model work at Microsoft in Menlo Park. He brings a strong academic foundation as a Ph.D. candidate in Computer Science and Engineering at Ohio State and an M.Math in Applied Mathematics from Waterloo, combined with hands-on research internships at Tencent and multiple Microsoft labs. Heming’s work spans speech bandwidth extension, synthesis, unsupervised learning for robust ASR, and nearfield sound resynthesis—bridging rigorous math, signal processing, and large-scale ML. Notably, he has repeatedly moved between academia and industry, applying Bayesian and empirical decomposition techniques from his earlier math-focused research to practical foundation-model problems.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Electric Science and Technology, Bachelor's degree, Electric Science and Technology at Harbin Institute of Technology
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at The Ohio State University
M. Math, Applied Mathematics, M. Math, Applied Mathematics at University of Waterloo
English, Chinese