about
university of waterloo computer science '31
interested in cs, ai, and ml
experience
computer vision and machine learning researcher at weizmann institute
- developed a multi-camera 3D computer vision pipeline to detect, identify, and track individual weaver ants
- built a scalable behavioral-analysis methodology to extract agent-level state/action representations
- produced a reusable 3D trajectory dataset and analysis framework supporting research on collective intelligence, decentralized coordination, long-horizon behavior, and failure/recovery dynamics
- used networkx, pytorch
sep 2026 - present
portfolio management intern at ranger equity investments
- 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
corporate governance research assistant at queen's university
- created fama french 3 factor models to examine corporate governance impacts after california senate bill SB826's repeal
- used python, R
- mentored by dr. bhargav gopal - smith school of business
dec 2023 - sep 2024
projects
vla model trajectory data project
- Created a novel data curation pipeline to adjust for underrepresentations and reduce redundancies in long-horizon training data
- used python, pytorch, numpy, scikit-learn, jupyter, aws cloud
sharpey
- Created a portfolio sharpe ratio analysis and learning tool
- used javascript, typescript, and css
- made with bryan yao
sharpey websiteeconomic policy uncertainty independent research project
- examined relationships between EPU and executive order signings
- used python (numpy, pytorch, etc.) and R
- supported by dr. yi feng at tmu
hackathons
hackmit (mit, 2026)
- incoming
jamhacks 10 (uwaterloo, 2026)
- created bananamov
- won best use of a elevenlabs
- used typescript, elevenlabs api, gemini api
contact
email: stanleyzhou2008 [at] gmail [dot] com
github linkedin (typically not up to date)