About Me

Learn about my journey as a medical student exploring machine learning and AI through hands-on projects and learning in public.

Profile

Who am I?

Hi, I’m Patrick — a medical student fascinated by how machine learning and artificial intelligence are reshaping healthcare.

This blog is where I document my journey — learning, experimenting, and sharing insights as I explore how data and algorithms can improve decision-making.

Why This Blog Exists

This blog represents my commitment to learning in public—documenting my journey as I build hands-on projects and deepen my understanding of machine learning. Here’s what drives me:

  • Bridging domains: Exploring how machine learning can enhance medical research and clinical practice
  • Building intuition: Working through real datasets to understand algorithms beyond theory
  • Sharing knowledge: Helping fellow learners see practical workflows and honest reflections
  • Continuous growth: Documenting failures and successes as part of the learning process

What You’ll Find Here

This isn’t a tutorial site — it’s a documentation of my learning process. Each post represents a step in my understanding of machine learning, from data preprocessing to model evaluation and interpretation.

Current Focus Areas:

  • Medical data analysis and prediction
  • Classical machine learning algorithms
  • Feature engineering and selection
  • Model interpretation and validation

My Approach

I focus on:

  • Practical projects with real-world datasets
  • Clear explanations of methods and reasoning
  • Visual storytelling through charts and analysis
  • Reproducible code that others can learn from
  • Honest documentation of challenges and insights

Start Here

You can start here or explore the Blog!
Have fun!

Let’s Connect

I’d love to connect with fellow machine learning enthusiasts, especially those interested in healthcare applications:

Learning in public. Bridging medicine and machine learning. Sharing the journey one project at a time.