Xiaoning Huang

Xiaoning Huang studies cardiovascular disease risk at a population level, focusing on how factors like neighborhood conditions, social determinants of health, race/ethnicity, and metabolic conditions (like diabetes and kidney disease) shape heart disease and heart failure outcomes across large groups of people in the US. Much of this work uses large public health datasets and risk-prediction tools (such as the PREVENT equations) to understand disparities in cardiovascular health and to evaluate long-term disease risk. This research is relevant to students interested in cardiovascular epidemiology, health disparities, and population health data analysis.

Publication output was low and sporadic from 2017-2021 but has grown sharply and steadily since 2022, with output remaining high (around 13-25 papers per year) through 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026