Summary
Shijia Bian is a research scientist with 11 years of quantitative and data-science experience, now based in Menlo Park and recently appointed at Meta after completing a PhD in Biostatistics at Emory. She combines deep statistical programming expertise in R (text mining, spatial analysis, Big Data tools like SparkR and MapReduce) with practical experience in SQL, Git, and visualization tools including Tableau and ArcGIS. Her background spans industry and academia—from biomarker biostatistics at Biogen to risk and ML internships at JPMorgan and Wells Fargo—bringing both domain rigor and production-minded modeling. She specializes in Bayesian methods, topic models, fraud/imbalanced-data detection, and agent-based simulation, making her adept at tackling noisy, real-world datasets. Fluent in English and Mandarin and comfortable with business terminology in both languages, she bridges technical and cross-cultural stakeholder communication. An analytical polymath, she uniquely pairs academic depth with hands-on engineering for scalable statistical systems.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science (BS) Economics-BS ACMS-Mathmatical Economics Statistics, Bachelor of Science (BS) Economics-BS ACMS-Mathmatical Economics Statistics at University of Washington
Master's degree Master of Statistical Science, Master's degree Master of Statistical Science at Duke University
Doctor of Philosophy - PhD Biostatistics, Doctor of Philosophy - PhD Biostatistics at Emory University
Chinese, English