An Artificial Intelligence Research Engineer (Marc Combalia (MALE), ORCID: 0000-0001-5237-4256), graduated in Telecommunications Science and Technology, has an MSc in Telecommunications Engineering with an MSc Thesis focused on “A Deep Learning Approach for Histological Image Classification” and several seminars on the topic of Deep Learning. He has a wide experience in research on computer vision and artificial intelligence topic, especially in the application of artificial intelligence in the biomedical field with an emphasis in deep learning techniques. He is currently an Artificial Research Engineer at the “Melanoma: imaging, genetics and immunology” research group. He has supervised five BSc Thesis in the “Universitat Politècnica de Barcelona” on the topic of Deep Learning for image processing and classification of various types of cancer. He has developed eight research technology demonstrators presented in congresses such as the Mobile World Congress – MWC 2016 and 2017 in Barcelona, and the Consumer Electronics Show - CES in Las Vegas 2018. He has done several lectures on the topics of computer vision, visible light communications, and artificial intelligence for biomedical applications at congresses, hackathons and at the “Master for Global Health” by ISGlobal. He has coauthored several publications presented at the “Medical Imaging and Computer-Assisted Intervention – MICCAI” and the “Medical Imaging and Deep Learning - MIDL” conferences, where he obtained the CIFAR Student Travel Award. He has one patent pending application from his previous research focused on a computerized method for real-time positioning using visible light communication. He has also co-organized the largest artificial intelligence challenge in skin cancer classification held in MICCAI 2019 (ISIC Challenge 2019) and have been reviewer in congresses such as CVPR 2019. He is cochair of the ISIC Workshop held in CVPR 2020.