Research Interests

Research Expertise

Econometrics & Computational Finance

  • Market Microstructure: High-frequency finance, limit order book reconstruction and simulation, and alpha signal detection.

Statistics and Machine Learning

  • Time Series Analysis: Theory, methods, and applications.

Risk Management & Actuarial Mathematics

  • Healthcare Risk Analytics: Risk adjustment and grouper condition models.
  • Epidemiological Modeling: Disease transmission modeling, scenario analysis, and resource forecasting.

Targeted Domains

Applied AI & Deployment

  • AI-Assisted Education: Applications of machine learning and large language models to enhance pedagogical frameworks and accelerate knowledge acquisition.

Statistics and Machine Learning

  • Kernel Methods: Theory, methods, and applications.

Econometrics & Computational Finance

  • Energy Economics: Energy grid load forecasting, volatility pricing, and infrastructure demands.
  • Environmental & Renewable Finance: Renewable asset optimization, carbon pricing dynamics, and climate-linked financial instruments.

Technical Infrastructure & Capabilities

  • Languages: Python, R, SQL.
  • Machine Learning & AI: PyTorch, scikit-learn, AI deployment.
  • Time Series & Econometrics: statsmodels, rugarch, glmnet, urca.
  • Data Engineering & Pipelines: NumPy, pandas, rpy2, Databento (high-frequency LOB data).
  • Infrastructure & Reproducibility: Git, Docker, Linux/Bash, Google Cloud Storage (GCS).