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Biography
I am interested in developing machine learning methods to tackle biology-related problems. I started as a wet-lab biologist in undergrad, where I used a combination to experimental approaches – including imaging, biochemistry, cell biology – to study autophagy in human cell lines and yeast. My graduate work is focused on integrating large scale biological datasets and applying network-based approaches to predict context-specific disease genes and pathways in neurodevelopmental and neurodegenerative diseases and disorders. During my postdoc studies, I am working on integrating and translating multi-omics single cell profiles across data modality, time and species.