Weiyan Shi is an Assistant Professor and researcher in statistics and machine learning with a decade of experience spanning academia and industry. He holds advanced degrees from UC Berkeley and is completing a PhD in Computer Science, with postdoctoral experience at Stanford and research internships at Meta/Facebook across multiple years. His background blends rigorous statistical modeling in R and Python with practical big-data engineering using Spark and Apache Pig, applied to finance and NLP problems. He has industry experience as a data scientist building intent-classification systems and a track record of moving research into production settings. Colleagues describe him as analytically rigorous but hands-on, able to bridge theoretical methods and scalable systems.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of California, Davis
Master's degree Statistics, Master's degree Statistics at University of California, Berkeley
Bachelor of Applied Science (B.A.Sc.) Applied Mathematics, Bachelor of Applied Science (B.A.Sc.) Applied Mathematics at Renmin University of China
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Columbia University
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Weiyan Shi - Assistant Professor at Northeastern University