Summary
Xingchao Peng is a Senior Applied Scientist at Microsoft with 11 years of experience building adaptive transfer learning and computer vision solutions, currently shaping Azure AI Vision initiatives such as shelf analytics. He holds a PhD from Boston University where his ERA (Effective, Robust, Applicable) research focused on transferring visual knowledge across domains, and has translated that research into production-focused models and domain-adaptive synthesis like DGCAN. His background includes research internships at UC Berkeley and industry work at Neurala, giving him a strong blend of academic rigor and applied engineering. Based in Bellevue, WA, he’s skilled at taking novel domain adaptation methods from prototype to cloud-scale deployment, often surfacing subtle robustness improvements that matter in real-world vision pipelines.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Peking University
Doctor of Philosophy - PhD Computer Science , Doctor of Philosophy - PhD Computer Science at Boston University