I am Faculty member at Mayo Clinic, Arizona and SCAI, ASU, and supports the AI-driven healthcare initiatives. Prior joining ASU, I was an Assistant Professor in Emory University with joint affiliation in Georgia Tech, and an active member of Winship Cancer Institute. My intellectual goal is to close the gap between human understanding of unstructured medical data and computerized interpretability for creating the next-generation generalizable predictive modeling for clinical events. My current research is focused on unstructured medical data analysis (mainly clinical notes and images) and integration of multisource medical data from varying hospital systems for building predictive model to benefit cancer diagnosis and treatment.
I supervised students with various background and experience in Stanford, Emory University and ASU, starting from female high school students to encourage them to pursue career in STEM to CS Ph. Ds and postdocs. Starting from 2019, I directly supervised four postdocs, four CS Ph.Ds., seven MS, four high school and several remote students. My high school students successfully published their work in high impact journal and started their career in top-tier universities, including Yale, Stanford. My Ph.D. and MS students also have been extremely productive in publications and research disseminations - >10 student publications/year. On total, her trainees published 28 journal publications in prestigious venues, e.g. Nature Digital Medicine, Cell, Nature Scientific Reports. She also co-supervised 15 Ph.D., MS and remote research students.
I was an Instructor with joint affiliation in Radiology and Biomedical Data Science Dept. at Stanford University.
I worked as a Post-doctoral scholar in the Laboratory of Quantitative Imaging at Stanford university.
I received Ph.D. in Computer Science from The University of Genova, Italy in 2016.
During Ph.D., I received Marie Curie European fellowship.
I worked as an early-stage researcher at the National Research Council, Italy.
I completed Master thesis in The European Organization for Nuclear Research (CERN), Geneva
Core research areas are biomedical data mining and predictive modeling. I have a background in many areas of computer vision and Natural Language processing. I worked as an Assistant Professor in Emory University, prior to joining ASU. I successfully carried out several innovative machine learning based research projects related to development of predictive analysis techniques. I also have affiliation with Stanford, Emory and Duke University