Summary
Xiaopeng Xu is a postdoctoral research fellow at KAUST with 12 years of experience at the intersection of AI and molecular design, currently leading an industrial enzyme-design collaboration focused on improving application properties. He develops agentic AI systems and has applied GPT-style generative models and reinforcement learning to protein and enzyme design, producing a ChatGPT-like protein design workflow that has delivered multiple optimized enzymes. His background spans chemical, antibody, and peptide design, cancer genomics and synthetic biology, giving him a rare combo of computational depth and wet-lab–adjacent domain knowledge. Before academia he held product and data science roles at startups and big-data firms, shaping AI product roadmaps and analytics platforms. He supervises graduate students and maintains an active GitHub and personal website, signaling a practice-oriented approach to reproducible research and deployable ML for biology.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at KAUST (King Abdullah University of Science and Technology)
Bachelor's degree, Bioinformation technology, Bachelor's degree, Bioinformation technology at Huazhong University of Science and Technology
Master, Computer Science, Master, Computer Science at King Abdullah University of Science and Technology
Chinese, English