Alfonso Palacio

About

Alfonso Palacio is a Systems Engineering student at Politécnico Grancolombiano with a strong focus on applied artificial intelligence. He has worked on projects involving machine learning, computer vision, and data analytics, including BachAI, a YOLOv8-based system for automatic pothole detection. He has experience with Python, data processing, and cloud-based solutions, and has contributed to initiatives such as Microsoft Learn Student Ambassadors and collaborative tech projects. Alfonso is passionate about building AI solutions that solve real-world problems and about sharing practical knowledge to help others leverage these technologies in their own work.

Talk

Machine Learning aplicado a secuencias genéticas

DNA contains massive amounts of biological information, but how can artificial intelligence help us understand it? In this talk, we will explore how Python and Machine Learning can be used to analyze genetic sequences in a practical and beginner-friendly way. Using public biological datasets, we will demonstrate how DNA sequences can be transformed into data suitable for machine learning models, covering concepts such as feature extraction, sequence representation, and basic classification techniques. We will also review popular Python tools used in bioinformatics, including Biopython, pandas, and scikit-learn, while discussing real-world challenges when working with biological data, such as high dimensionality, noise, and interpretability limitations. By the end of the talk, attendees will have a clear understanding of how to start building genetic analysis projects using accessible tools from the Python ecosystem, even without prior bioinformatics experience.

Country

Colombia

Language

Spanish / Español

Level

Beginner / Principiante