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Luis A. Leiva is an Assistant Professor in the Department of Computer Science at the University of Luxembourg’s Faculty of Science, Technology and Medicine. He leads the Computational Interaction research group and serves as director of the Interdisciplinary Lab for Intelligent and Adaptive Systems (ILIAS). His academic background includes a PhD in Computer Science (with honors), an MAS in Pattern Recognition and Artificial Intelligence, an MSc in Electrical Engineering, and dual BSc degrees in Industrial Design and Industrial Engineering, all from the Universitat Politècnica de València (UPV). His research lies at the intersection of Human-Computer Interaction (HCI) and Machine Learning , with a focus on computational interaction . He investigates methods to enable, explain, and support user interaction through computational models and data-driven techniques. His key areas include implicit interaction —leveraging behavioral signals such as mouse movements and gaze—and synthetic data generation , particularly using kinematic models to simulate human-like gestures. His work has contributed to usability evaluation, user engagement prediction, adaptive interfaces, and stroke gesture modeling. His recent publications span top-tier journals and conferences such as ACM Transactions on Computer-Human Interaction (TOCHI) , IEEE Transactions , CHI , IUI , and SIGIR . The research trends reflect a strong emphasis on multimodal interaction, affective computing, brain-computer interfaces, and deep learning applications in user interface modeling and personalization. Best paper award at IUI'25 Marie Skłodowska-Curie Actions (MSCA) Seal of Excellence (2019) Extraordinary PhD thesis award (2014) Outstanding Reviewer Recognition at CHI, ICMI, MobileHCI, and UIST Quality Teaching Awards finalist at Aalto University (2020) Luis A. Leiva has advised numerous MSc and BSc students at the University of Luxembourg and Aalto University and has secured significant research funding as PI or co-PI for projects such as SYMBIOTIK (EIC), SCRIPTOR (FNR), BANANA (CHIST-ERA), and SAMUSE (Audacity). He is an Associate Editor for the International Journal of Human-Computer Studies and Machine Learning with Applications , and actively serves on the program committees of major HCI and AI conferences. He is also a co-founder and former CTO of Sciling, an SME specializing in machine learning solutions, and has held postdoctoral positions at Aalto University and the PRHLT Research Center (UPV). He leads the Computational Interaction research group and the ILIAS lab, both dedicated to advancing intelligent, adaptive, and user-centered computing systems through interdisciplinary research combining machine learning, cognitive science, and interactive technologies.

• Human-Computer Interaction
• Machine Learning
• Computational Interaction
• +12 more

Evi Wollscheid-Lengeling is a Postdoctoral Researcher at the Luxembourg Centre for Systems Biomedicine (LCSB) within the University of Luxembourg . Her work focuses on Digital Medicine , leveraging computational and data-driven approaches to advance biomedical research. She is based at the LCSB's Roudeneck facility, located at 1, Boulevard du Jazz, L-4370 Esch, Luxembourg. Research Interests Systems Biomedicine Digital Health Computational Biology Biomedical Informatics Personalized Medicine Data-Driven Healthcare Contact: evi.wollscheid-lengeling@uni.lu , +352 46 66 44 5386.

• Systems Biomedicine
• Digital Health
• Computational Biology
• +3 more

Romain TOEBOSCH is a Doctoral Researcher at the University of Luxembourg's Department of Behavioural and Cognitive Sciences within the Faculty of Humanities, Education and Social Sciences. His work focuses on innovative intersections between technology and human behavior, particularly in personal informatics, affective computing, and educational tools. He conducts research at Maison Sciences Humaines (MSH) in Esch-sur-Alzette. TOEBOSCH's research interests include designing ethical technology interfaces, co-creation methodologies with vulnerable populations, and future-oriented design fiction. His work often explores how technology can enhance self-tracking, collaboration, and learning through gamification and AI-driven systems. His publications highlight trends in developing non-judgmental user interfaces, addressing online manipulation risks for older adults, and creating negotiation-based tools for healthy behaviors. He has pioneered frameworks like the Chef's Hat simulation environment for reinforcement learning agents and explored affective-aware human-robot interaction through card games. His recent work extends to professional informatics tools and temporal self-negotiation strategies. TOEBOSCH's research integrates disciplines like human-computer interaction, behavioral science, and computer science to address real-world challenges in education, health, and aging populations.

• Human-Computer Interaction
• Personal Informatics
• Design Fiction
• +5 more

Ivana PACCOUD is a Postdoctoral Researcher in the Digital Medicine Department at the Luxembourg Centre for Systems Biomedicine (LCSB) of the University of Luxembourg. Her work focuses on digital health technologies, healthcare equity, and socio-ethical challenges in personalized medicine. She holds a position at the intersection of medicine, technology, and social science. Her research interests include AI-driven healthcare solutions, determinants of health in the digital age, and addressing disparities in healthcare access. She has published extensively on topics such as patient perspectives in Parkinson’s Disease management, digital health inequities, vaccination willingness, and migrant health. Key contributions include a 2024 scoping review on digital determinants of health and a 2023 HTA model for digital healthcare systems. Her work often bridges clinical, technological, and policy dimensions, emphasizing inclusive healthcare design. Dr. PACCOUD’s current projects address AI ethics in medicine, biomarker discovery for neurodegenerative diseases, and policy frameworks for equitable digital healthcare adoption. She is affiliated with LCSB’s interdisciplinary teams focusing on systems biomedicine and digital medicine innovation.

• Digital Medicine
• Personalized Medicine
• Healthcare Equity
• +3 more

Enrico Glaab is an Assistant Professor and Senior Research Scientist at the University of Luxembourg’s Luxembourg Centre for Systems Biomedicine (LCSB), leading the Biomedical Data Science Group. His roles include Deputy Course Director for the Master in Molecular and Computational Biomedicine and Principal Investigator. He holds academic qualifications from the University of Nottingham (PhD in Computer Science/Bioinformatics) and Saarland University (MSc and BSc in Computational Molecular Biology). Research focuses on applying machine learning and bioinformatics to neurodegenerative diseases like Alzheimer’s and Parkinson’s, emphasizing sex-dependent molecular mechanisms and integrative omics approaches. He has pioneered work on digital health technologies for personalized medicine, including gait sensor integration and biomarker discovery. Key achievements include winning international challenges (e.g., MEDIC, LongHack) and developing predictive models for disease progression and therapy responses. Teaching responsibilities span undergraduate, master’s, and PhD levels, covering systems biology, bioinformatics, and statistical analysis of omics data. Awards include the Bayer Lindau Fellowship, Geoffrey Beene Challenge win, and recognition for contributions to SARS-CoV-2 drug discovery. His interdisciplinary approach bridges computational methods with clinical applications, driving advancements in neurodegenerative disease understanding and treatment strategies.

• Machine Learning
• Bioinformatics
• Biomedical Data Science
• +3 more

Isabel Schwaninger serves as a Research Fellow at the Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, operating within the Digital Medicine group at the Belval campus in Esch-sur-Alzette. Her role focuses on advancing interdisciplinary research at the convergence of biomedical science and computational innovation, contributing to LCSB's mission of decoding complex biological systems through data-driven methodologies. Her research spans critical domains in modern biomedicine, with primary emphasis on: Systems-level analysis of disease mechanisms Digital health applications and medical informatics Computational modeling of biological networks Integration of multi-omics data for personalized medicine Artificial intelligence in clinical decision support Biomedical data standardization and interoperability LCSB provides her collaborative environment, featuring state-of-the-art facilities for high-throughput experimentation and bioinformatics. As part of this center, she engages with cross-disciplinary teams developing novel approaches to understand neurodegenerative disorders and metabolic diseases through systems biology frameworks, leveraging Luxembourg's strategic position in European biomedical research infrastructure.

• Systems Biomedicine
• Digital Medicine
• Computational Biology
• +3 more