Laura Daza is a postdoctoral researcher at the Institute of Machine Learning for Biomedical Imaging (IML) at Helmholtz Center Munich. She received her Ph.D. at the Research and Formation in Artificial Intelligence (CINFONIA) at Universidad de los Andes advised by Pablo Arbeláez and did an internship with Professor René Vidal at Johns Hopkins University. Her areas of interest are Computer Vision, Machine Learning and Deep Learning, as well as their application to biomedical problems. During her Ph.D., her research was focused on the analysis of adversarial robustness of medical image analysis methods and natural image and video classification methods. She also worked on early lung cancer diagnosis leveraging multimodal data, pharmaceutical discovery, and automatic bone age assesment in children.