I am a fourth-year PhD candidate at Imperial College London in the Department of Computing. I received my B.Sc. in Biomedical Engineering and M.Res. in Data Science before adventuring into the exciting field of deep learning on graphs advised by Michael Bronstein and Kirill Veselkov.

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During the first part of my PhD I enjoyed developing graph machine learning methods leveraging genomic data to uncover molecules with disease-beating properties in foods within the HyperFoods project. Motivated by the drawbacks of modeling genetic perturbations using machine learning approaches alone, I currently work on developing causal graph machine learning algorithms to model genetic and chemical perturbations together with Marinka Zitnik at Harvard Medical School.

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