Isabella Bicalho is a Machine Learning Engineer and Data Scientist with three years of hands-on AI development experience. She began her technical journey in computational research, and that early foundation still shapes how she approaches machine learning today: carefully framing problems, designing reproducible experiments, and documenting work so that others can build on it.

Her transition from a biology-rooted research background into machine learning has made her a strong advocate for practical, project-based skill building. She works with modern ML approaches such as computer vision and transformer models, and she contributes to open-source projects that make these tools accessible to other practitioners.

Beyond her engineering work, Isabella is committed to making the data field more visible and more inclusive. She runs a newsletter dedicated to showcasing women’s accomplishments in data science, highlighting the work of women in the field and bringing an equity-minded perspective to how technical work gets shared and recognized.