As a Computer Vision Scientist at MI, I develop novel computer vision methodologies for the extraction of biomarkers from the human face. With a master's degree in Computer Science from the University of Milan, where I approached the world of Affective Computing and became passionate about it, I have 2+ years of experience in the field of Computer Vision, during which I consolidated my skills in the Machine Learning using specific libraries and manipulating a lot of data. I was also able to publish my first paper "Pain Classification and Intensity Estimation Through the Analysis of Facial Action Units" for the Springer Nature International Conference on Image Analysis and Processing. This study focuses on using facial expressions to detect the presence of pain and evaluate acute pain levels. Thanks to this work, I was able to explore the corresponding literature to improve the state of the art. I intend to contribute both to research, as I think there is still much to be done, and to product creation. This is because I see a lot of potential, as emotions are a fundamental part of our existence as human beings, and they are often greatly underestimated. This is closely related to a major problem in our society, which is that of mental diseases. Mental health is a subject that is very close to my heart and to which I would like to contribute. I think that developing algorithms that can understand emotions and mental well-being can be supportive in noticing different diseases in advance and in having a more inclusive society. I believe this can be realized within the MI team, and I am thrilled to see what incredible things will happen.