Summary
Ting-yun Chang is a PhD student at USC’s NLP Group with a decade of experience researching and building systems at the intersection of natural language processing and computer vision. She has interned at top industry labs including Google DeepMind and AWS, and contributed applied research to AlexaAI and Academia Sinica, bridging academic rigor with production-oriented engineering. Ting-yun’s work spans core NLP and multimodal modeling, and her publications are accessible via Google Scholar while her projects and CV are showcased on her personal website. Based in Los Angeles, she combines deep academic training from USC, NTU, and NTHU with practical experience shipping research in large-scale environments. An observant collaborator, she often pursues cross-disciplinary approaches that reveal synergies between language and visual understanding not obvious from single-modality studies.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Southern California
Master's degree, Computer Science, Master's degree, Computer Science at National Taiwan University
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at National Tsing Hua University