I joined Genentech/Roche in February 2023, after completing a PhD on graph deep learning for lead discovery advised by Michael Bronstein and Kirill Veselkov at Imperial College London. I am part of the Frontier Research team at Prescient/MLDD in Genentech Research and Early Development (gRED).

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My expertise lies at the intersection of graph deep learning and causal inference and my focus is on (causal) graph deep learning for drug discovery/design, from the small-scale (e.g., proteins) to the large-scale (e.g., patient data) systems. I am particularly passionate about applying my knowledge to women’s health to catalyze breakthroughs in women-specific conditions such as endometriosis and preeclampsia.