![Portrait image of Valeria De Luca](https://appliedmldays.org/rails/active_storage/blobs/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaTRJIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--167266ad06215d71290f15580bd5c7ff32a76f6e/cvphoto_crop.jpg)
Valeria De Luca is associate director and senior principal data scientist at the Novartis Institutes for Biomedical Research, where she works on multi-modal data-driven approaches to quantify patient’s response to disease and treatment. Prior to joining Novartis in 2017, she was a postdoctoral research fellow at UCSF and ETH Zurich focusing on predictive models for critical care. She holds a PhD in Computer Vision from ETH Zurich on personalized cancer treatments.