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 (32)
imitation-learning10
gymnasium10
algorithms9
python9
language-model9
evaluation-framework8
data-structures8
data-analysis8
pandas8
data-structure8
ai8
pytorch8
data-science8
benchmark7
transformer6
Programming languages (4)
Github contributions (5)
ZiyueWang25/GBVPP
Nov 2021 - Dec 2023
Google Brain - Ventilator Pressure Prediction
Contributions:3 PRs, 4 pushes in 2 years 2 months
ZiyueWang25/ZiyueWang25.github.io
Apr 2023 - Apr 2025
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:58 pushes in 2 years
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