Dr Idil Ismail

Idils' PhD and Postdoctoral research have focused on developing data-driven and graph-driven models to support chemical reaction understanding, prediction, and discovery.

At Warwick, she built automated workflows for high-throughput screening and ranking of mechanistic hypotheses, integrating machine learning with electronic structure calculations to guide reaction discovery.

At ETH Zürich, she is extending this work by developing high-throughput models for reaction outcome and yield prediction using cheminformatics pipelines.