Motahare Shabestari
Motahare Shabestari has spent her career at the intersection of quantitative science and human health. A lifelong enthusiast of mathematics led her to take Iran’s mathematics-and-physics entrance exam and begin her studies in Electrical Engineering at the University of Tehran. Over three semesters, she learned engineering mathematics, C++, signal processing, and algorithm design. This experience still shapes her approach to medical data.
Yet her fascination with the human applications of technology prompted a pivot: she re-sat the national exam in the biology track, won a medical school place, and set out to fuse engineering with clinical insight.
While earning her MD from Shahid Sadoughi University of Medical Sciences (2024), she independently deepened her programming skills. She explored machine-learning frameworks suited to electronic health records (EHRs) and other tabular datasets. Today, as a researcher at the university’s Cardiovascular Research Center, she builds and validates predictive models for early detection, risk stratification, and management of cardiovascular disease and type 2 diabetes. Her projects integrate EHRs with advanced ML techniques to deliver tools that clinicians can trust.