I received my PhD in Bioinformatics from the Graz University of Technology (Austria) where I focused on the integrative analysis of multiple omic data types. I am an Austrian Marshall Plan Foundation scholar and my background includes a BSc in Computer Engineering and an MSc in Machine Learning. During my postdoctoral training in cancer epidemiology at the Channing Division of Network Medicine (Brigham and Women’s Hospital and Harvard Medical School, Boston, USA) I specialized in metabolomics analyses, including the identification of novel and potentially modifiable risk factors for breast and ovarian cancer. During my postdoctoral training I received the Scholar in Training Award from the American Association for Cancer Research in 2018 and the The Early-Career Members Network of the Metabolomics Society Travel Grant 2019.
I recently transitioned to a junior faculty position at the Harvard Medical School and an associate epidemiologist appointment in the Chronic Disease Epidemiology Group at the Channing Division of Network Medicine (Brigham and Women’s Hospital and Harvard Medical School, Boston, USA). My current research focuses on the understanding of cancer etiology through the application of cutting edge bioinformatics and machine learning methods to the integration of multiple omics, particularly metabolomics and genomics, with epidemiological data such as diet and lifestyle information.