An Intro to Machine Learning for Biomedical Scientists
PhD candidate at Imperial College London
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.
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.