Summary
Hui-po Wang is a research scientist specializing in the intersection of computer vision and deep learning, now at Meta after a PhD track at CISPA. With 11 years of experience spanning research assistantships, internships at Max Planck and MediaTek, and published conference papers from his master’s studies, he blends strong academic rigor with practical engineering. Proficient in Python, TensorFlow and PyTorch, he focuses on bringing cutting-edge deep learning methods toward real-world vision problems. His background includes competitive programming accolades and a history of self-driven research that underscores both creativity and persistence. Based in Saarbrücken, he bridges European research environments and industry-scale ML development. An uncommon strength is his track record of moving from early-stage academic ideas to implementations that attract attention in both labs and product teams.
11 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at National Chiao Tung University
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at National Tsing Hua University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at CISPA Helmholtz Center for Information Security