Scholar
Yizhou Liu
Google Scholar ID: 2ZxBaA0AAAAJ
MIT
Citations & Impact
Citations
130
H-index
6
i10-index
4
Publications
17
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'Superposition Yields Robust Neural Scaling' accepted as an oral presentation at NeurIPS 2025
- Paper 'Ecosystem stability relies on diversity difference between trophic levels' published in Proceedings of the National Academy of Sciences (PNAS)
- Paper 'On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks' published in Quantum
- Presented work on ecostability at CMT Kids Seminar, Harvard University
- Attending NEMI 2025 conference
Background
- PhD student in Mechanical Engineering (MechE) at MIT, advised by Prof. Jeff Gore
- Fascinated by 'emergence'—how complex phenomena like life and intelligence arise from simpler components
- Uses physics-based approaches to formalize intuitive concepts into rigorous frameworks
- Current research focuses on: (1) Ecology and Evolution—mechanistic understanding of species community formation, diversity, and stability; (2) Physics of AI—how optimizers, data, and architectures generate phenomena like neural scaling laws
- Research is unified by methodology rather than disciplinary boundaries
- Values relevance (potential real-world utility), and elegance (simplicity combined with non-triviality)
- Analytical approaches span dynamical systems ('One Two Three') and statistical mechanics ('Infinity')
