Summary
Jiexian Li is a Senior Applied Research Scientist with a decade of experience applying machine learning and deep learning to product-driven problems, currently at Meta after prior applied science work at Amazon. He blends a strong research pedigree in mathematical finance, stochastic control, and optimization with hands-on expertise in NLP and recommendation systems to move models from research to impact. Comfortable at the intersection of math and engineering, he has a PhD from UT Austin and a B.S. from USTC, which underpin his rigorous approach to model design and evaluation. Based in the Greater Seattle Area, he pairs production-focused ML work with curiosity-driven research, and his GitHub bio hints at a reflective, human-centered perspective that informs how he frames technical problems.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at The University of Texas at Austin
Bachelor of Science (B.S.), Bachelor of Science (B.S.) at University of Science and Technology of China
Chinese, English