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SusannaMazzocchi/README.md

About Me

Hi, I'm Susanna! I recently graduated with a Bachelor's degree in Artificial Intelligence and I am currently pursuing an EIT Double Degree Master's program in AI.

My academic journey is taking me across Europe: I am studying Artificial Intelligence Systems at the University of Trento (Italy), and I will complete my specialization in Health Technology at the University of Turku (Finland).

I am deeply interested in how the human brain works and in the intersection of AI and healthcare. I thrive on projects that challenge me, I love turning ideas into reality, and I enjoy building things inspired by whatever sparks my curiosity.

Tools & Languages

Python | MATLAB | R

Interests

Advanced pianist ๐ŸŽน, passionate about discovering hidden patterns in data and mathematics.
I also enjoy painting ๐ŸŽจ, reading ๐Ÿ“š, and parrots ๐Ÿฆœ are my favorite animals.

My Coding Journey

My adventure with programming began in high school during an all-girls summer school for robotics and computer science hosted by a local university. None of us had any prior experience, so it felt pretty intimidating at first! However, our mentors taught us to approach programming through pure logic, showing us how to treat code blocks like Lego bricks that snap together to build something bigger. By the end of the program, I had built my very first mobile app from scratch, and I was completely hooked.

Since my high school didn't offer any computer science classes, I decided to take things into my own hands. During my senior year, I taught myself Python. I spent hours watching YouTube tutorials, doing endless practice exercises, and slowly working my way up to building my own mini-projects.

The real turning point, though, came during my university studies in Artificial Intelligence. Here, my skills leveled up. The biggest milestone wasn't just writing scripts that worked, but finally understanding the deeper meaning behind every single line of code and exactly why things are done a certain way.

Pinned Loading

  1. ORCA-OCT-Classifier ORCA-OCT-Classifier Public

    BSc Thesis in AI. ORCA is a clinical decision support prototype for retinal OCT classification. It compares traditional Deep Learning (CNNs and EFFICIENTNET-B0) with Foundation Models (MedGemma, MIโ€ฆ

    Jupyter Notebook

  2. Brain_Simulation_TVB Brain_Simulation_TVB Public

    ๐Ÿง  Simulating whole-brain dynamics using The Virtual Brain (TVB). A comparative analysis of Reduced Wong-Wang and Wilson-Cowan mean-field models to understand Functional Connectivity.

    Jupyter Notebook

  3. DECODE-Cognitive-Distortions DECODE-Cognitive-Distortions Public

    ๐Ÿง  DECODE: A Machine Learning / NLP project to detect cognitive distortions in psychological counseling dialogues. It performs binary text classification to identify irrational thinking patterns usiโ€ฆ

    Jupyter Notebook

  4. Migraine_Analysis Migraine_Analysis Public

    ๐Ÿฅ A medical data science project analyzing the efficacy of CGRP monoclonal antibodies for severe migraines. My specific focus is on Task 4: Survival Analysis (Kaplan-Meier & Competing Risks).

    Jupyter Notebook

  5. Particle_Swarm_Optimization Particle_Swarm_Optimization Public

    A custom Python implementation of the Particle Swarm Optimization (PSO) algorithm. Features multiple benchmark functions and fuzzy membership parameter tuning.

    Jupyter Notebook

  6. Red_Wine_Quality Red_Wine_Quality Public

    ๐Ÿท A Machine Learning project to predict red wine quality. Built with Python and Scikit-learn, focusing on handling imbalanced data with SMOTE and using Nested Cross-Validation.

    Jupyter Notebook