Dominici Lab

Research focus

NIH R01 · 2024

SCH: Synergizing Topological Deep Learning and Spatio-Temporal Causal Inference to Unpack Health

PROJECT SUMMARY (See instructions): This research aims to provide novel statistical and deep learning (DL) tools to address open methodological challenges in understanding and mitigating health disparities in the United States in the context of the climate crisis. It focuses especially on the health effects of extreme heat and air pollution. Marginalized populations often bear the brunt of climate threats. It is thus vital to identify the communities and individuals that are most vulnerable. To enable such analysis, this multi-disciplinary research brings together computer scientists and biostatisticians to promote principled and synergistic advancements in Topological Deep Learning (TDL)…

From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.