Poster, Forty-Third International Conference on Machine Learning (ICML 2026), Seoul, Korea
Poster presentation of LCL, a lineage-aware contrastive learning framework for single-cell RNA-seq data, at ICML 2026. This work introduces a self-supervised approach that leverages lineage barcodes to learn biologically meaningful embeddings that capture cell fate trajectories.
Poster, Children's Lives: International Conference on Children and Their Families Using the Multiple Indicator Cluster Surveys (MICS), Bristol, United Kingdom
Poster presentation on small area estimation techniques applied to MICS survey data to derive subnational estimates of critical child health indicators including neonatal mortality rate, vaccination coverage, and stunting across Sierra Leone, Gambia, and Laos. Delivered by Jon Wakefield.
Poster, Machine Learning in Computational Biology (MLCB) Conference, Seattle, WA, USA
Poster presentation introducing a contrastive learning approach for lineage-barcoded single-cell RNA-seq data, presented at the Machine Learning in Computational Biology (MLCB) 2024 conference.