Alice Fang is a software engineer with eight years of professional experience and a strong track record in full-stack development for cloud-based machine learning services. Currently at Princeton University, she builds user-focused, scalable research software and previously supported economic research platforms as a research software engineer. Her background in financial engineering (Columbia) and dual honors in mathematics and economics (Vanderbilt) gives her a quantitative edge when translating models into production systems. Comfortable across data science and engineering roles, she bridges research and product needs—often working on reproducible ML services rather than pure exploratory code. Based in New York, she combines academic rigor with practical delivery, and her Princeton email suggests ongoing collaboration in academic research software.
8 years of coding experience
3 years of employment as a software developer
AP Program, AP Program at The Affiliated High School of South China Normal University
Master of Science - MS, Financial Engineering, Master of Science - MS, Financial Engineering at Columbia University in the City of New York
Bachelor of Arts, Majors: Mathematics; Economics (Highest Honors), Minors: Scientific Computing, Bachelor of Arts, Majors: Mathematics; Economics (Highest Honors), Minors: Scientific Computing at Vanderbilt University
Contributions:4 releases, 26 pushes, 1 branch in 1 year
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Alice Fang - Software Engineer at Princeton University