Summary
Yifan Jing is a data science master's student at Columbia University with a strong foundation in applied mathematics from Fudan and eight years of diverse experience spanning game design at Tencent Games and operations at Farfetch. He is passionate about leveraging mathematical reasoning and deep learning together—his research on improving ResNet architectures using differential equations reflects a rare cross-over of theoretical insight and practical ML experimentation. Based in Wuhan, he is eager to translate academic work into real-world solutions, especially where rigorous analysis can inform model design. Colleagues can expect a problem-solver who blends analytical depth with hands-on product experience and a keen interest in bridging theory and applied machine learning.
8 years of coding experience
Bachelor of Science - BS, Applied Mathematics, Bachelor of Science - BS, Applied Mathematics at Fudan University
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Columbia University in the City of New York