Summary
Jia-hong Huang is a Ph.D. candidate in Computer Science at the University of Amsterdam with nine years of experience researching and building deep learning systems across natural language processing, computer vision, and multimedia. His work spans visual question answering, video and image captioning, medical report generation, and active speaker detection, with internships at Google, Amazon, Microsoft Research, MediaTek, and the BBC showcasing applied research in industry settings. He combines strong quantitative foundations in statistics and engineering with practical optimization and data-visualization skills evidenced on GitHub and Google Scholar. Known for tackling multimodal and causal problems, he bridges theory and application to produce research that informs deployable ML systems.
9 years of coding experience
2 years of employment as a software developer
Master of Science (M.S.) Electrical Engineering, Master of Science (M.S.) Electrical Engineering at KAUST (King Abdullah University of Science and Technology)
Master of Science (M.S.) Mechanical Engineering, Master of Science (M.S.) Mechanical Engineering at National Taiwan University
Bachelor of Science (B.S.) Mathematical Science, Bachelor of Science (B.S.) Mathematical Science at National Chengchi University
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Amsterdam
Mandarin, Chinese, English, Arabic, Dutch