About Hannah Guan
Hannah created the Multi-Dimensional Interpretable Interaction Network, which models how an individual’s health evolves with age and what variables are most responsible for changes in health. Her Network is designed to help researchers better understand the dynamic process of aging.
Multi-Dimensional Interpretable Interaction Network (MDiiN) for Modeling Aging Health and MortalityView Poster
Hannah Guan, 16, of San Antonio, created the Multi-Dimensional Interpretable Interaction Network (MDiiN) to better understand the dynamic process of aging for her Regeneron Science Talent Search computational biology and bioinformatics project. Hannah has researched aging for the past five years and believes that longitudinal measures (data captured over time) represent the aging process more accurately than cross-sectional data, which capture only a moment in time. Hannah applied her math and coding backgrounds to combine a stochastic differential equation with a three-dimensional interaction network, capturing how health variables interact over time to model the aging process. MDiiN was the result. Hannah says that MDiiN can demonstrate how an individual’s health evolves over time and what variables are most responsible for the changes.
The daughter of Yu Zhang and Weihua Guan, Hannah attends BASIS San Antonio Shavano Campus. At age 11, she founded and became CEO of San Antonio Math Include, now an international program, and is editor-in-chief of Mathemagic. Hannah also founded and leads four STEM clubs and created and led the first-ever San Antonio Speak Up Teen Mental Health Survey.
Hannah provided AI training to high school teachers throughout San Antonio and helped develop a free citywide AI curriculum.
FUN FACTS: Since age 14, Hannah has cooked all the dinners for her family; her little brother is her biggest fan. A “massive foodie,” she likes to experiment and alter traditional recipes. Hannah’s first recipe was Chinese crispy scrambled eggs with grape tomatoes.