cat ~/.profile

shoral rat

A research-oriented Econ-CS builder working where firm strategy, climate policy, data science, and AI tooling collide.

research.kernel
focus = [
  "firm strategy under technological and regulatory shifts",
  "data-driven competitive dynamics",
  "causal inference with text-as-data and computer vision"
]
toolchain.methods
PythonRStataGitPyTorchscikit-learn LLM-OCRRAGLangChainLlamaIndex DiDIV/2SLSRDDPanel DataVAR

Research build

Pre-doc research assistant work at Oxford Said Business School includes an LLM-OCR pipeline for 19th-century ledgers, systematic-review automation, and econometric analysis of historical financial data.

Climate finance

Research trainee work on the ERC SMOOTH Project studies firm-level exposure to carbon transition risk, Carbon VaR scenarios, and mappings between industry codes and IPCC process categories.

Reproducible analysis

Current working paper work benchmarks missing-data methods across published managerial-science datasets and turns method choice into a reproducible pipeline rather than a hidden assumption.

Master in Economics (Research)

Ecole Polytechnique, HEC Paris, and Institut Polytechnique de Paris. Research track spanning economics, strategy, and empirical methods.

Master of Data Science

The University of Texas at Austin. Online data science training layered onto economics research.

Bachelor of Economics, Public Finance

Jilin University. Thesis on carbon tax effects on industrial emissions using panel data.

open channels

Research notes, code traces, and public experiments.

The site is intentionally written under the alias shoral rat. The public trail is about methods, projects, and tools, not personal-name branding.