about

incoming university of waterloo cs student interested in tech, ai/ml, finance, and policy

experience

- reviewed and optimized ai responses for frontier ai labs

- reduced hallucination frequency and improved style-fidelity in leading model content generation

may 2026 - present

- created policy recommendation for u.s. department of education for safe ai education in schools

- analyzed past u.s. policies and global precendents

- published with department at university of virginia and was included in hearing notes and analysis

june 2025 - present

- created quant portfolio management tools to improve asset weightings

- optimized allocations using efficient frontier modelling for $140k experimental portfolio

- used python, numpy, pytorch, pandas

sep 2024 - dec 2025

- vibecoded portfolio sharpe ratio analysis and learning tool

- used javascript, typescript, and css

- made with bryan yao

sharpey website

- examined relationships between EPU and executive order signings

- used python (numpy, pytorch, etc.) and R

- supported by dr. yi feng at tmu

- created fama french 3 factor models to examine corporate governance impacts after california senate bill SB826's repeal

- used R

- mentored by dr. bhargav gopal at queen's

- created bananamov

- won best use of a sponsor track

- used typescript, elevenlabs api, gemini api

email: stanleyzhou2008 [at] gmail [dot] com

github linkedin