Daniel Gonçalves completed his master's degree in Computer Science and Engineering in November of 2020 at Instituto Superior Técnico and has since authored four publications, three of which as a first author, published in high impact journals. He holds a BSc in Informatics Engineering, completed in June 2018 at the University of Aveiro and, since September 2021, he is pursuing a PhD in Computer Science and Engineering. Simultaneously, he is working as an invited teaching assistant at Instituto Superior Técnico, teaching four Computer Science courses: Information Processing and Retrieval (MSc course), Information Systems and Databases (MSc course), Data Administration and Information Systems (MSc course), and Databases (BSc course). Daniel is also a Research Fellow at IDMEC-IST since 2019. As such, he participated in a project collaboration with IPO-Porto to predict postoperative complications in cancer patients using machine learning models, developing his master's thesis in this context, leading him to publish two articles in 2021. Furthermore, together with other colleagues, he contributed to the creation of an online platform for oncologists, aiming to help in perioperative care. These results have been published in a recent article from 2022. More recently, Daniel has been working with glycoproteomics data employing pattern mining and deep learning to find potential targets for cancer immunology research. He has recently been accepted in a conference with a paper holding early contributions from his latest research. In parallel to all his work, he is also an assiduous speaker at seminars and tutor of young people (7th to 12th grade) on Artificial Intelligence in an after-school volunteer program.