Summary
Feiyang Han is a finance-focused behavioral scientist in training, pursuing an MS in Behavioral and Decision Sciences at UPenn after earning a BS in Finance & Economics from Northeastern. With four years of hands-on experience across tax compliance, private equity accounting, and behavioral strategy—at Fusion Group, Advent International, Vanguard, and soon S&P Global—he blends technical tax skills (K-1/K-3, book-to-tax reconciliations, CCH Axcess) with quantitative thinking. Feiyang applies behavioral insights to make complex financial trade-offs more transparent, having worked on scenario modeling for client decision support at Vanguard. He has a practical record of resolving tax discrepancies with Big Four teams and translating portfolio-level effects into actionable planning recommendations. Based in Philadelphia and active as an AI researcher on GitHub, he aims to merge data-driven finance, behavioral design, and consulting to help organizations improve decisions and drive sustainable growth.
4 years of coding experience
Bachelor of Science - BS, Finance & Economics, Bachelor of Science - BS, Finance & Economics at Northeastern University
Master of Science - MS, Behavioral and Decision Science, Master of Science - MS, Behavioral and Decision Science at University of Pennsylvania
Chinese, hokkien, English