Selects, audits, and explains causal machine learning workflows for heterogeneous treatment effects and graph-based causal ML. Use for CATE, ITE, uplift modeling, S/T/X/R/DR learners, causal forests, matching, propensity scores, IV/DRIV, CEVAE/DragonNet,…
Orchestrates bilingual empirical research workflows from research question to reproducible paper package. Use when writing, reviewing, replicating, or packaging empirical economics/social-science papers; designing DID, IV, RDD, event-study, panel,…
Orchestrates academic paper production from topic/proposal to manuscript, analysis, figures, submission files, and defense slides. Use for research-proposal planning, paper architecture, section-by-section drafting, evidence-gap tracking, statistical handoff,…
Builds and audits tabular-data prediction-model workflows for research papers. Use for clinical, environmental, biological, social-science, environmental-economics, or economics prediction models; tidymodels, random forest, XGBoost, logistic-regression…
Creates and audits publication-ready scientific figures in R. Use for ggplot2, corrplot, journal figure standards, TIFF/EPS/PDF export, COSTAR prompts, scatterplots, boxplots, bar charts, line plots, heatmaps, correlation matrices, correlograms, corrplot…
Acts as a skeptical applied-economics identification reviewer. Use when evaluating DID, IV, RDD, event-study, panel fixed effects, synthetic control, matching, or causal ML designs; auditing robustness checks; preparing referee-style critiques; assigning…
Work with Stata-based empirical economics projects. Use when reading, editing, running, or auditing Stata .do/.ado files, .log files, Stata replication packages, regression-table workflows, or Stata-to-R/Python conversion in applied economics. Can execute…