Production-grade Causal Inference Engine using T-Learners (XGBoost) to optimize marketing ROI. Features: 3.2x Lift over random targeting, Behavior-Based Segmentation (Persuadables vs. Sleeping Dogs), and fully dockerized FastAPI/Streamlit architecture.

Causal ML for drug discovery: treatment effect estimation, causal graphs, propensity score methods, and perturbation response prediction.

"Causal Machine Learning for Cost-Effective Allocation of Electricity Aid" thesis for my Masters in Management and Digital Technologies at Ludwig-Maximillian Univeristy, Munich.

Reliable and Fair Causal Machine Learning for Sparse Subpopulations in NSDUH 2021–2023

Code and data for my article 'The Economist's Guide to Causal Forests'

Causal-AIRL: MSc research code + interactive demo. 23pp↑ cross-style policy agreement via latent Z deconfounding. MSc Data Science @ Edinburgh 2024-25.

Judea Pearl’s Causal Ladder, featuring Association, Intervention, and Counterfactual models.

Causal analysis framework using Double Machine Learning to quantitatively isolate the effect of model size on deep learning performance while controlling for confounders such as dataset size, training time, and hyperparameters.