Seong-Woo Ahn
Developing an integrative methodological approach for identifying causal microbiome-health relationships in humans.
CIKM 2026
Two papers from the Lusis chair will be presented at CIKM 2026 in Rome: kernel-based anomaly detection and knowledge-informed causal discovery.
Causal discovery in microbiome data with identifiable variational autoencoders
Evaluating whether questionnaire-guided iVAE representations support causal discovery in microbiome data with hidden confounding.
MICCAI 2026 — MultiTab Best Paper Award
Our paper on cross-modal anomaly screening with tabular foundation models received the Best Paper Award at the MultiTab workshop, held on September 27, 2026 in Strasbourg during MICCAI 2026.
Microbiome analysis, knowledge graphs and causality
Combining literature-derived knowledge graphs with microbiome observations to investigate causal hypotheses in personalized health.