I am a data scientist at Recursion, developing machine learning models for structural biology and binding predictions in drug discovery. My interests revolve around the development of tools to bridge the gap between information layers from chemistry to biology. Previously I was a research associate in the Genetics and Genome Biology program at the Hospital for Sick Children in Toronto, working on the characterization of transcriptional heterogeneity across childhood cancers.

I obtained my Ph.D. from King’s College London working on binding and activation mechanisms of ion channels. In the following years, I joined University College London, where I continued my work on understanding orthosteric and cryptic binding properties of complex biomolecular systems, with molecular dynamics and enhanced sampling techniques.