Selected Research & Modeling Projects

Representation Learning

Contrastive learning, latent structure and geometric representation of neural systems.

Modular framework for neural representation learning, contrastive sampling and latent dynamics.

Deep-learning prototype for CT image segmentation with encoder-decoder CNNs and IoU evaluation.

Applied machine-learning prototype for hospital-flow forecasting with triage timestamps, temporal aggregation and walk-forward validation.

Text representation, semantic similarity and information retrieval in specialized corpora.

Seed-based retrieval, TF-IDF scoring and word embeddings for legal terminology expansion.

Applied NLP pipeline for lexical analysis, sentiment and emotion profiling of political tweets.

Quantitative finance, state-space models and regime-aware risk prototypes.

Hybrid mean-reverting and stochastic trend models for statistical arbitrage.

Replication-based pricing of an equity protection certificate with Black-Scholes, NSS yield curves and credit-risk extensions.

Rolling quantile-regression framework for estimating institutional contributions to systemic risk.

Black-Litterman and equal-risk-contribution portfolio construction with resampling and rolling allocation diagnostics.

Causal inference, policy evaluation and shock-transmission analysis in institutional systems.

Bayesian analysis of policy uncertainty, institutional shocks and macroeconomic transmission.

Geographic regression-discontinuity design for historical concessions, public goods, conflict and night lights.

Cloud analytics, predictive modeling and decision support for business systems.

Cloud-based advertising analytics pipeline for seasonality, click dynamics, revenue modeling and budget decision support.