Cristina Gallego

Cristina Gallego is an experienced data scientist with over 8 years of expertise in research and data analytics, specializing in engineering data-driven solutions. Her Ph.D. focused on healthcare data management, predictive analytics, and machine learning, particularly enhancing breast MRI imaging for breast cancer screening in high-risk individuals.

During her Ph.D., Cristina developed and implemented machine learning algorithms for predictive modeling and medical image diagnostics. She contributed to the interpretability of these models, including rule extraction and understanding the relationships between variables and outcomes. Her recent work delves into deep learning for image comprehension, aiming to extract meaningful insights from medical image datasets.

As a Graduate student, Cristina co-authored multiple articles in reputable international journals and conference proceedings, showcasing her expertise in the field. She is also a co-inventor of a patented method for automating the segmentation of 3D Magnetic Resonance Images. To support her academic journey, Cristina secured substantial scholarships totaling over $135,000 CAD.

In terms of education, Cristina holds a Doctor of Philosophy (Ph.D.) in Biomedical/Medical Engineering, a Master of Science in Medical Biophysics, and a Bachelor of Science in Biomedical Engineering, all from the University of Toronto and Escuela de Ingeniería de Antioquia.

Throughout her career, Cristina has held key positions in various organizations, including her current role as a Data Scientist at TritonWear. Previously, she served as the Chief Data Scientist at 4D Virtual World Inc, undertook her Ph.D. candidacy at the University of Toronto at Sunnybrook Health Sciences Centre, and held roles such as Director of Communications and Member Relations at the Graduate Management Consulting Association (GMCA), IT and Communications Director at the Life Sciences and Career Development Society, and Research Assistant at Robarts Research Institute.