Álvaro Heredia Lidón serves as an Associate Professor in the Department of Engineering at Universitat Ramon Llull, specializing in Human-Environment Research with a focus on advanced computational methods for medical applications. His academic position bridges engineering, computer science, and clinical research, with particular emphasis on developing accessible diagnostic tools through innovative image analysis techniques. Dr. Heredia Lidón's research centers on the development and application of computer vision and deep learning methodologies for 3D facial biomarker analysis in medical diagnostics. His work addresses critical challenges in rare genetic disorders, particularly Turner syndrome and Down syndrome, through advanced facial phenotyping techniques. He has pioneered approaches for automated 3D landmarking of anatomical structures, orientation detection of head reconstructions, and the extraction of diagnostic biomarkers from various imaging modalities including MRI and smartphone-based 3D reconstructions. His publication portfolio reveals a strong trend toward creating low-cost, accessible diagnostic solutions that can be deployed in resource-limited settings. The research demonstrates significant interdisciplinary collaboration between engineering, genetics, and clinical medicine, with particular focus on translating computational advances into practical clinical applications. His work on multi-view consensus networks and geometric morphometric methodologies represents cutting-edge innovation in the field of medical image analysis. Dr. Heredia Lidón has secured substantial research funding, including serving as Principal Investigator for the FI-2022 Joan Oró grant for predoctoral researcher training (2022-2025) from the Catalan Department of Research and Universities. He is actively involved in multiple collaborative research projects, most notably the BeNeXT project which uses Turner syndrome as a model for developing biomarker-enhanced diagnostic tools for rare disorders. His laboratory work focuses on the Human-Environment Research group at Universitat Ramon Llull, where he collaborates with an extensive interdisciplinary team including medical researchers, geneticists, and computer scientists. This collaborative environment fosters innovation at the intersection of engineering and healthcare, with particular emphasis on making advanced diagnostic capabilities more widely accessible through cost-effective imaging solutions and automated analysis pipelines.
