Teaching

I teach biostatistics, machine learning, and data analysis methods at the Faculty of Medicine, University of Porto. My pedagogical approach integrates classical biostatistical methods with modern machine learning techniques.

Current Courses

Biostatistics for Medical Research

MSc in Medicine | FMUP

Introduction to statistical methods for clinical and epidemiological research, including:

  • Descriptive statistics and data visualization
  • Hypothesis testing and confidence intervals
  • Regression analysis (linear, logistic)
  • Survival analysis fundamentals

Machine Learning in Healthcare

PhD Programme | FMUP

Advanced course covering:

  • Supervised learning methods for clinical prediction
  • Model validation and calibration
  • High-dimensional data analysis
  • Practical applications with R

Applied Data Science in Medicine

Postgraduate Course | FMUP

Hands-on workshop series on:

  • R programming for medical research
  • Reproducible research with Quarto
  • Clinical prediction modeling
  • Multi-omics data integration

Lecture Slides

Available upon request for registered students.

Available Projects

I am looking for motivated students interested in:

  1. Machine learning methods for cardiovascular risk prediction
  2. Multi-omics integration in cardio-oncology
  3. Statistical methods for radiomics data
  4. Development of clinical decision support tools

Interested? Contact me with your CV and a brief description of your research interests.

Pedagogical Philosophy

My teaching philosophy emphasizes:

  1. Integration of theory and practice — Every statistical concept is illustrated with real medical examples
  2. Reproducibility — All analyses are conducted in R/Python with documented code
  3. Critical thinking — Students learn to question assumptions and interpret results in context
  4. The evolving role of researchers — Preparing students for an AI-augmented research landscape