Zitian Gao
Quantitative Researcher
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolZitian Gao is a quantitative researcher based in Beijing with two years of hands-on experience blending computer science and financial mathematics to build data-driven trading insights. Currently at 九坤投资 and previously affiliated with Ubiquant, he has interned at top institutions including Tsinghua, Gaorong Capital, and K.N. Capital, gaining exposure to both academic research and practical asset management. Educated at the University of Sydney with an exchange at Stanford, he brings strong algorithmic and software chops to quantitative model development. Notably, his profile reflects a fast-moving early career that bridges rigorous academic projects and real-world trading research, signaling a researcher who quickly translates theory into deployable strategies.
2 years of coding experience
The University of SydneyExchange Student, Computer Science, Exchange Student, Computer Science at Stanford University
Github Skills (17)
prompt9
reinforcement-learning9
multimodal9
watermark9
mathematics9
reasoning9
prompting9
coding9
prompt-engineering8
llm8
chain8
chatgpt7
natural-language-processing7
gpt7
nlp7
Programming languages (2)
Github contributions (5)
zitian-gao/SC-MCTS
Oct 2024 - Nov 2024
Contributions:20 pushes, 21 branches in 28 days
zitian-gao/Awesome-LLM-Strawberry
Nov 2024 - Dec 2024
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.
Contributions:2 pushes in 1 month
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