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MartinaDelGaudio/README.md

👋 Hi, I’m Martina

I'm an AI and Mathematics enthusiast with a strong academic and research background, driven by the desire to leverage AI for meaningful, positive change in the world.

  • 🗺️ Based in Stanford, California
  • 🎓 MSc student in Computational and Mathematical Engineering at Stanford University
  • 📚 BSc in Mathematical and Computing Sciences for Artificial Intelligence at Bocconi University
  • ✉️ Contact me at martina.delgaudio@outlook.com

📂 Repositories Overview

I have created repositories for various projects undertaken during my undergraduate studies. Each repository typically includes:

  • Jupyter Notebook (.ipynb)
  • Final Report (PDF)

To explore my work, please navigate to the relevant repositories where you will find detailed documentation in the README files. These documents offer insights into the objectives, techniques used, and findings of each project.

👀 Interests

  • Mathematical Foundations of ML, including optimization, statistical theory, and high-dimensional geometry
  • Advanced Neural Network Theory, particularly in relation to the statistical physics of complex systems
  • Intersection of Neuroscience and ML, focusing on encoding, decoding, and network dynamics

🔧 Languages

c python R

📚 AI/ML Libraries

pytorch scikit_learn tensorflow pandas numpy

📫 How to Reach Me

martina del gaudio

Pinned Loading

  1. Investigating-Optimal-Visual-Inputs-for-Cortical-Neurons Investigating-Optimal-Visual-Inputs-for-Cortical-Neurons Public

    A CNN-Based approach for analyzing neuronal responses to visual stimuli in the mice visual cortex

    Jupyter Notebook 1

  2. Hybrid-Models-for-Sign-Language-to-Text-Translation Hybrid-Models-for-Sign-Language-to-Text-Translation Public

    Explorations of Deep Learning models to perform classification and translation of Word Level American Sign Language (WLASL).

    Jupyter Notebook

  3. Exploring-the-Efficacy-of-Evolutionary-Algorithms-in-Image-Recovery Exploring-the-Efficacy-of-Evolutionary-Algorithms-in-Image-Recovery Public

    Here I developed different solutions for recovering images from noisy patterns using evolutionary algorithms

    Jupyter Notebook

  4. Hypoxia-driven-genomic-analysis-in-cancer-research Hypoxia-driven-genomic-analysis-in-cancer-research Public

    Machine learning research project awarded publication on Bocconi's AI Lab Research Department. Topic: detection of tumoral cells based on conditions of hypoxia and normoxia

    Jupyter Notebook

  5. A-Multivariate-analysis-to-social-factors-impact-on-GDP A-Multivariate-analysis-to-social-factors-impact-on-GDP Public

    Statistical study on correlation between GDP and social factors within countries

    R