π B.S./M.S. in Computer Science & B.A. in Intellectual History @ Yale University ('26)
Exploring the intersection of theoretical foundations and practical systems to build scalable, efficient, and reliable technologies.
My work focuses on the intersection of Systems and Machine Learning, specifically:
- Parallel Algorithm Design: Researching with Prof. Quanquan Liu.
- Quantum Error Correction: Decoding research with Prof. Lin Zhong & Dr. Yue Wu (Presented at IEEE QCE 2024).
- LLM Performance Engineering: Focusing on scalability, efficiency, and reliability.
π Honors: CRA Outstanding Undergraduate Researcher Honorable Mention (2025) | Rosenfeld Science Scholars Fellow (2025)
- π» Building: Compiling open-source course notes for Combinatorial Optimization, Quantum Coding Theory, Scalable and Private Graph Algorithms, and more.
- π Writing: My History Senior Essay explores the definition, presence, and concerns over artificial intelligence in science fiction to inform AI policy.
- π Reading: History and Philosophy of Science. Currently balancing Boyle's empiricism and Hobbes' rationalism (Leviathan and the Air-Pump is highly recommended!).
- π Grew up in Hubei, China β‘οΈ Studied at Raffles Institution, Singapore β‘οΈ New Haven, CT.
- π― Open to collaborate on: Open-source systems projects, quantum computing infrastructure, and AI policy discussions.
- π« How to reach me: Shoot me an email at
liu.yang.ly337@yale.eduor visit my personal website to chat about CS, physics, or the works of Rousseau and Hobbes!

