Summary
Yunlong Jiao is a Research Engineer at Google DeepMind with a decade of experience applying machine learning to real-world products, especially large language models and multi-modal systems. He previously led applied science efforts at Amazon on NLP fairness, LLM evaluation frameworks, and scalable text-to-speech solutions that sped voice launches and reduced production costs. Trained as a mathematician with a PhD in machine learning and bioinformatics, he has translated academic advances—Gaussian processes and longitudinal multimodal modelling—into deployed systems and patentable industrial solutions. Known for mentoring junior researchers and running rigorous evaluation pipelines, he blends deep technical rigor with product-focused impact across text, vision, audio and video domains.
10 years of coding experience
6 years of employment as a software developer
Bachelor's Degree, Mathematics, Bachelor's Degree, Mathematics at University of Science and Technology of China
Master's degree, Mathematics, Master's degree, Mathematics at Paris-Sud University (Paris XI)
Doctor of Philosophy - PhD, Machine Learning and Bioinformatics, Doctor of Philosophy - PhD, Machine Learning and Bioinformatics at PSL Research University
English, French, Chinese, Spanish