Zhonghao Shi is a postdoctoral researcher and USC-trained PhD in Computer Science with eight years of experience applying machine learning and robotics to human-centered problems, especially education and health. Currently at Harvard, he builds personalized AI/ML agents and robots that adapt to individual learners to improve engagement and outcomes. His work spans multimodal affective computing, domain adaptation, and individualized Bayesian knowledge tracing—methods he used to enable a socially assistive robot math tutor for children with ASD. He has industry experience translating research into products, including leading AI work on a speech-articulation tutor and contributing to patented fairness-aware data distillation methods at JPMorgan. Comfortable moving between ROS/Unity integrations and modern deep learning pipelines, he blends systems engineering with rigorous experimentation. Colleagues describe him as a researcher who consistently pushes models from lab prototypes toward real-world, user-centered deployments.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Southern California
Contributions:17 releases, 15 pushes, 17 tags in 5 months
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