👋 Hello! I'm Stephen. Turning data into impact through Economics, Machine Learning, and Artificial Intelligence.

🌐 Research Domain
Expertise in Macroeconomics, Financial Time Series Analysis, and Economertrics using cutting-edge computational methods. Passionately exploring the fusion of traditional econometrics with deep learning and LLMs.

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🔧 Technical Arsenal

Core Languages & Frameworks

Cloud & Big Data

AI/ML Specialization

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🚀 Featured Repositories

Recommendations System

Advanced recommendation framework tackling cold start and sparsity challenges with novel diversity-driven approaches
PyTorch Recommender Systems Diversity Optimization

Paper Reader Agent

AI research assistant for semantic paper retrieval and knowledge extraction
LLM Agents Academic NLP Knowledge Graphs

Time Series Forecasting

Novel hybrid architecture combining spectral analysis with neural differential equations
Frequency Domain Neural ODEs Macroeconomic Forecasting

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📚 Featured Publications

Causality Between Business & Financial Cycles

with I. Tsiakas, Journal of Risk and Financial Management, 2023
Business Cycle Credit Cycle Causality Mixed Data Sampling

FX-Commodities Long-Run Correlation

with I. Tsiakas, Global Finance Journal, 2021
Asset Pricing FX Rate Modeling Risk-Return Analysis

Equity Premium Prediction

with J. Li and I. Tsiakas, Journal of Empirical Finance, 2020
Financial Forecasting Portfolio Strategies Business Cycle

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🧠 Current Research Frontiers

• LLM-Forecasting Fusion: Building domain-specific agents for forecasting
• Hybrid Forecasting Models: Combining econometric and deep learning approaches

graph LR
A[Traditional Econometrics] --> C[Hybrid / Multi - Modal]
B[Deep Learning & Fundation Models] --> C
C --> D[Macroeconomic Forecasting]
C --> E[Financial Time Series]
C --> F[Business Cycle Analysis]

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