Pietro is a research assistant at the Faculty of Informatics, Università della Svizzera italiana (USI). His research activity focuses on interpretable AI, explainable AI theory, AI-assisted mathematics, and neural-symbolic reasoning with main applications in precision medicine.

Martin is an Ambizione Fellow funded by the Swiss National Science Foundation (SNSF) and hold the position of Scientific Collaborator at the People-Centered Computing Lab. His primary research focus is on Artificial Intelligence (AI), specifically in the areas of machine learning, federated learning, and explainable AI (XAI). He applies these concepts to various domains such as wearable computing, affective computing, and digital healthcare.

Nouran is a PhD Student at the Faculty of Informatics, Università della Svizzera italiana (USI). She is working on mobile and affective computing, with a focus on personal and work health.

Mohan is a PhD Student at the Faculty of Informatics, Università della Svizzera italiana (USI), Switzerland. Currently, he is working on privacy-friendly technologies such as federated learning on human well-being, job-satisfaction, wearable computing and much more.

Matías hails from Buenos Aires, where he completed his MSc in Computer Science at the Universidad de Buenos Aires. During his studies, he worked for several years as a fullstack developer for various companies. He is now investigating how physiological signals affect memory recall.

Lidia is a PhD Student at the Faculty of Informatics, Università della Svizzera italiana (USI). She is interested in wearable devices for Sleep Monitoring, Personal Health and Affective Computing.

Leonardo is a PhD Student at the Faculty of Informatics, Università della Svizzera italiana (USI). He is interested in machine learning applied to Wearable, Affective and Ubiquitous Computing, especially with an aim for personal health.

Gabriele is a PhD Student at the Faculty of Informatics, Università della Svizzera italiana (USI), Switzerland. Currently, he is working on developing interpretable Machine Learning models, which are able to generate counterfactuals, with the aim to improve the interaction between machine and humans.

I am a PhD Student at the Faculty of Informatics, Università della Svizzera Italiana (USI), Switzerland. My research aims to create multimodal and interactive explainable AI tools for Machine Learning models using wearable sensor data, develop privacy-aware ML techniques, and integrate both aspects into a unified approach.

Dario Fenoglio is a PhD Student at the Faculty of Informatics, Università della Svizzera italiana (USI). He specializes in developing explainable machine learning and deep learning methods in healthcare, with a focus on data privacy.

Daniil is a PhD student in informatics at the Faculty of Informatics, Università della Svizzera italiana (USI). His current research is situated in the Explainable AI (XAI) domain, with a particular focus on generating factual explanations for multimodal, high-dimensional, and time series data.