Ziyue Wang
Research Engineer at Google DeepMind
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolZiyue Wang is a Research Engineer in San Francisco with eight years of experience applying ML, quantitative research, and engineering to high-impact problems across finance and AI. Currently at Google DeepMind working on AGI safety and alignment, she previously contributed to Gemini and code-generation efforts at Google Labs. Her background includes quant research roles at BNP Paribas and hedge funds, and a strong competitive data-science track record as a Kaggle Master with top-percent finishes in gravitational-wave and other challenges. She holds an MS in Financial Engineering from Baruch and a bachelor’s in Applied Mathematics and Financial Engineering, blending rigorous quantitative training with production ML experience. Colleagues know her for pragmatic problem selection—aiming to “contribute to a better world”—and a surprising personal emphasis on sleep as a productivity habit.
8 years of coding experience
4 years of employment as a software developer
Master of Science Financial Engineering, Master of Science Financial Engineering at Baruch CollegeYali High SchoolBachelor Degree Applied Mathematics and Financial Engineering, Bachelor Degree Applied Mathematics and Financial Engineering at Renmin University of ChinaThe University of Hong Kong (HKU)
Chinese, English
Github Skills (35)
gymnasium10
reward10
evaluation9
pandas9
imitation-learning9
manipulation9
python9
frame9
deep-reinforcement-learning9
nlp8
evaluation-framework8
data-structures8
data-analysis8
reinforcement-learning8
dataframes8
Programming languages (3)
Github contributions (5)
ZiyueWang25/ActivePortfolioManagement_Notes
May 2020 - Jun 2023
Contributions:3 pushes, 1 branch in 3 years 1 month
ZiyueWang25/GBVPP
Nov 2021 - Dec 2023
Google Brain - Ventilator Pressure Prediction
Contributions:3 PRs, 4 pushes in 2 years 2 months
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