Summary
Jiaxuan Liu is a data-driven researcher and engineer specializing in AI and computer vision with three years of hands-on experience across academia, finance, and policy research. Currently a Research Assistant at Tsinghua’s Digital Currency Center, Jiaxuan blends quantitative modeling, GIS-driven satellite analysis, and R-powered data engineering to inform evaluations for organizations like the World Bank. Their work spans building triple-difference economic models, automating bond-data pipelines, and developing scenario-based valuation tools that influenced investment and policy decisions. Comfortable translating technical results for nontechnical stakeholders, they have presented findings directly to the World Bank and helped integrate novel modeling approaches into team workflows. With a Master of Public Policy focused on data analysis and a background in finance and economics, Jiaxuan brings a rare mix of econometric rigor, coding fluency, and practical deal- and research-oriented experience. An understated strength is their ability to turn messy, multi-source data (including satellite and financial feeds) into actionable insight under tight deadlines.
3 years of coding experience
3 years of employment as a software developer
master of public policy, data analyst, master of public policy, data analyst at University of Chicago
Bachelor's degree, finance and economics, Bachelor's degree, finance and economics at Rotman Commerce, University of Toronto