I am currently pursuing a Master's degree in Bioinformatics for Computational Genomics at the University of Milan and the Politecnico di Milano. Before that, I graduated in Biomedical Engineering from the University of Los Andes (Colombia), gaining hands-on lab experience in tissue engineering and biomaterials, along with solid foundations in physiology.

During my undergraduate studies, I became especially fascinated by mathematical modeling for biological systems—ranging from epidemiological models and drug release kinetics to gut microbiota population dynamics. This strong emphasis on mathematical frameworks, coupled with my interest in the physiological mechanisms behind them, naturally led me to specialize further in bioinformatics and computational genomics, with the goal of contributing to personalized medicine approaches.

• Bioinformatics & Genomics: pipelines for analyzing high-throughput sequencing data (WGS, WES, RNA-seq).
• Mathematical Modeling: epidemiology, pharmacokinetics, and biological system simulations.
• Personalized Medicine: leveraging data analytics, machine learning, and computational tools to tailor healthcare.
• Antiaging Research: identifying genetic markers and interventions geared towards healthier lifespans.
• Blockchain in Healthcare: secure, decentralized systems for patient data ownership (NFTs).
• Telemedicine & AI: expanding quality medical services through remote technologies and smart algorithms.

• Programming: Python, R, SQL

• Biomedical Background:

  • Tissue engineering & biomaterials
  • Physiology and device fundamentals
  • Mathematical modeling for biological processes

• Analytical Foundations:

  • Basic machine learning (scikit-learn, statistical methods)
  • Data preprocessing in Python/R
  • Introductory knowledge of HPC workflows, Docker, Nextflow, and blockchain frameworks

I’m looking to:

1. Contribute to open-source projects in bioinformatics, computational biology, or mathematical modeling of biological systems.
2. Explore blockchain applications for patient data ownership and secure sharing.
3. Support telemedicine solutions powered by AI, particularly in underserved regions.

Though these ideas are at an early stage, I’m eager to gain practical experience and collaborate with teams committed to healthcare innovation and personalized medicine.

In addition to my future goals, I have a history of working on several projects during my academic journey that have laid the foundation for my current pursuits. You can explore these past projects in more detail in the repository below, where I’ve shared some of my previous work related to bioinformatics, computational genomics, and mathematical modeling.

Check out my Past Projects Repository, where you’ll find:

Computational Models: Models used to simulate biological processes, including cell growth and protein interactions. Data Analysis: Projects involving large-scale datasets, focusing on genomics, transcriptomics, and other biological data. Collaborative Work: Contributions to group projects that combined multiple disciplines and tackled real-world challenges. These past projects showcase my practical knowledge and the skills I’ve developed over the years, as well as my commitment to continuous learning and improvement in these fields.

• LinkedIn: Joel Frayle
• Email: [email protected]

“The individual is sovereign over his body and mind.”
—Antonio Escohotado, Historia general de las drogas (1989)

I see this principle as a foundation for patient autonomy and a driving force behind personalized medicine, recognizing that each person’s unique lifestyle and health goals call for more nuanced, individualized treatment strategies.