Suvdaa is a Biostatistical Analyst at Dalla Lana School of Public Health, she is currently working on a research project to identify medical groups within the TBI patients and predict TBI outcome as well as its mechanisms of injury by employing various machine learning algorithms.
Suvdaa holds a MSc Biostatistics degree with emphasis in Artificial Intelligence and Data Science, in addition to HBSc degree in Economics and Statistics. She has received the Professor Emetirus Paul Corey Award for her research poster presentation in Machine Learning for Radiologic Series Categorizations of CT Scans