Summary
Zhengrong Xing is a data scientist and Ph.D. candidate in statistics with 11 years of experience applying novel statistical methods and scalable computation to large-scale problems, particularly in quantitative genetics. Based in Mountain View, she brings a strong academic foundation from UC Berkeley and the University of Chicago and a track record of translating statistical theory into practice at Quora and in clinical and research settings. Her work spans method development, high-performance implementations, and adapting modern machine learning tools to domain problems, from clinical trial modeling at AbbVie to behavioral and spatial modeling in academic collaborations. Comfortable both teaching and consulting, she has supervised short-term projects and delivered coursework, showing an ability to communicate complex methods to diverse audiences. An understated strength is her focus on computationally intensive solutions—designing methods with production-scale data in mind rather than purely theoretical advances.
11 years of coding experience
5 years of employment as a software developer
B.A, Economics & Statistics, 3.96/4, B.A, Economics & Statistics, 3.96/4 at University of California, Berkeley
Ph.D, Statistics, Ph.D, Statistics at University of Chicago
English, Chinese