Jiwoon Park, Ph.D. is a Postdoc at Weill Cornell Medicine and the founder of the Spatial Atlas of Human Anatomy (SAHA), an initiative to create the largest high-resolution, multi-omic maps of human organs. Her research bridges experimental and computational biology, integrating engineered organ models, spatial multi-omics, and AI to decode how cellular microenvironments drive health, disease progression, and therapeutic responses.

She develops both experimental and computational platforms for high-plex spatial profiling (spatial transcriptomics, proteomics, and imaging) and their integration with genomic, proteomic, and clinical datasets. She is particularly interested in how organ systems respond to genetic and environmental risk factors over time, and how these processes vary across individuals, tissues, and disease states—ranging from cancer to immune-mediated diseases.

During her Ph.D. at Cornell University and The Rockefeller University under Christopher Mason and Charles Rice, she developed the stem cell–derived multicellular liver model to study the PNPLA3 genetic variant, uncovering a novel injury-responsive stellate cell subtype with “epigenetic memory” that accelerates fibrosis.

To be updated.

Research Highlights

I map the human body at single-cell resolution to predict how diseases start, progress, and respond to treatment—combining engineered organ models, cutting-edge multi-omics, and AI to transform precision medicine.

My work develops models of human organ systems that can forecast disease risk, progression, and therapy response. Using advanced experimental platforms—such as stem cell–derived tissues and spatial multi-omics—I study how cells behave and interact across health and disease. From uncovering cell types that “remember” injury to mapping immune niches in cancer and therapy response, my research bridges cell biology and computational modeling. I lead the Spatial Atlas of Human Anatomy (SAHA, saha-project.org), a large-scale initiative generating the most comprehensive multi-omic maps of over 30 organs, enabling biomarker discovery, cross-organ comparisons, and AI-driven diagnostics.

Publications and Resources

To be updated; publications can be found in my Google Scholar.