
Title: AMIRA: Animal-free Mechanistic Inference for Species-Specific Chemical Risk Assessment
Richa Malik is a PhD researcher in computational toxicology at King’s College London, developing machine-learning approaches to predict species-specific sensitivity to chemicals and pharmaceuticals, supporting the development of next generation, animal-free, chemical safety assessment strategies. Using large-scale multi-modal datasets, her work focuses on identifying when chemical compounds may pose heightened hazards to particular species groups, and on uncovering the mechanistic drivers underlying differential sensitivity through multi-omics and systems-level analysis. She holds an MSc in Genomic Medicine from Queen Mary University of London and has previous experience as a data scientist working on genetic variant discovery and machine-learning analysis of transcriptomic datasets.
Note that you will not receive an automated confirmation after signing up. The HAB will send you a calendar invite shortly before the event. We recommend that you use the “Add to Calendar” option below in the meantime to mark that time slot.