Research

My research focuses on developing and applying advanced statistical and machine learning methods to cardiovascular medicine. I work at the intersection of biostatistics, clinical epidemiology, and data science.

Current Projects

CardioNIR

FCT-funded project investigating near-infrared spectroscopy applications in cardiac surgery. This project explores biomarker detection methods for perioperative risk assessment.

Cardio-Oncology Cohort Studies

Collaboration with breast cancer survivor cohorts to assess long-term cardiovascular risk following cancer treatment. This work integrates clinical data with multi-modal biomarkers.

Cardiovascular AI Infrastructure

Development of automated extraction pipelines for clinical data and multi-modal biomarker analysis.

Plastic Surgery Clinical Studies

Partnership with plastic surgery departments to assess surgical techniques, postoperative complications, and functional outcomes. This research combines clinical and procedural data to identify predictors of success and inform evidence-based practice.

Trauma Surgery Outcomes Research

Collaboration with trauma surgery teams to evaluate patient outcomes, injury severity patterns, and treatment effectiveness.

Research Areas

Survival Analysis & Longitudinal Methods

  • Elastic net Cox regression for high-dimensional predictors
  • Joint modeling of longitudinal and time-to-event data
  • Mixed-effects models for repeated measures
  • Competing risks analysis

Machine Learning in Medicine

  • Clinical prediction model development and validation
  • Model calibration assessment and improvement
  • Conformal prediction for uncertainty quantification
  • Regularization methods for high-dimensional data

Multi-omics Integration

  • Proteomics and metabolomics data analysis
  • Radiomics feature extraction and selection
  • Integration frameworks for multi-modal cardiovascular data
  • Dried blood spot technology for biomarker analysis

Methodological Development

  • Zero-inflated models for coronary artery calcium scores
  • Hierarchical temporal frameworks for multi-modal data
  • Calibration metrics for survival models
  • High-dimensional variable selection

Software & Tools

I develop and maintain R packages (via Rust) and analysis pipelines for:

  • Survival analysis with regularization
  • Radiomics feature processing
  • Clinical prediction model validation
  • Multi-omics integration workflows

Collaborations

I actively collaborate with:

  • Clinical teams at ULS São João and ULS Gaia-Espinho

Interested in collaboration? Contact me.