Chemical foundation models for small molecule detection and identification from environmental samples

ADaM: Autonomous workflows for Data-driven first-principles Modeling

Pesticides and Human Health

Multi-microbiome approaches for genomic mining of hidden antimicrobials and drug resistance (MULTIBIOMINE)

GenHap: Advancing Genomics and Precision Medicine with Scalable Haplotype-based Computational Methods

InForM: Inference, Forecasting, and Mitigation of future pandemics

Leveraging genomics and deep learning for biodiversity conservation

Probabilistic modelling approaches for deciphering post-transcriptional gene regulation

Deep Learning and Multimodal Trajectories to Detect Pancreatic Cancer via Routes of Diabetes

New computational approaches for understanding the emergence of social network structures