Ziliang Shen 沈梓梁
I study intelligent systems through the lenses of statistical theory and quantitative finance.
Quantitative Researcher Turing Fund Management
“Love is the minimal unit of communism.”
Alain Badiou
Profile & research focus
Thinking across disciplines.
My work connects statistical learning, the physics of intelligent systems, and decision-making in financial markets.
I am currently a Quantitative Researcher at Turing Fund Management. My research passion lies at the intersection of AI and statistical theories, with a specific focus on scaling laws, statistical mechanics, and reinforcement learning in finance.
Previously, I obtained my Ph.D. in Statistics from Shanghai University of Finance and Economics. Outside academics, I care deeply about literature, art, psychoanalysis, movies, and jazz. It would be a pleasure to connect and exchange ideas with you.
Selected & current work
Research & publications.
From high-dimensional inference to reinforcement learning and the statistical foundations of AI.
Published & accepted
Peer-reviewed work
Sparsity Learning via Structured Functional Factor Augmentation
Current research
Under review & in preparation
CoLaDAG: Compositional Latent Log-ratio DAG Analysis of the Gut Microbiome under Silver Nanoparticle Exposure
High-Dimensional Differentially Private Quantile Regression: Distributed Estimation and Statistical Inference
Estimation and Inference on Distributed High-Dimensional Quantile Regression: Double-Smoothing and Debiasing
Survival-Guided Adaptive Action Pruning for Constrained Reinforcement Learning in Optimal Execution
False Discovery Rate Control for Distributed High-Dimensional Quantile Regression
When Mixture of Experts Meets Scaling Laws
Practice & foundations
Experience & education.
A foundation in statistics and mathematics, applied across research, teaching, quantitative finance, and AI systems.
Turing Fund Management
Reinforcement Learning Quantitative Researcher & AI Agent Developer
Shanghai University of Finance and Economics
Teaching Assistant
Research project
Shanghai GDP Nowcasting Project
Industry project
Shanghai Electric Solar Cell Target Detection Project
Fibonacci Capital
Data Analyst
Learning in public
Notes & reflections.
Working notes that make difficult ideas more concrete—shared as evolving records rather than finished statements.
Notes on Optimal Transport Theory
Ziliang Shen & Chao Wang
Notes on Statistical Field Theory for Neural Networks
Ziliang Shen
Contact
Get in touch.
For research conversations and collaborations, feel free to reach out.
I welcome thoughtful exchanges on AI, statistics, and finance.
Email Send a message
Reading & links