Zurich, Zurich, Switzerland
Passionate and curiosity-driven Biomedical Engineer with a PhD in Cognitive Neuroscience, focused on utilizing advanced technologies (XR, EEG, gamification, robotics, AI) to enhance the well-being of individuals with cognitive/motor impairment. As a Digital Biomarker Translational Scientist, develops and validates digital biomarkers of disease status (people with AD, PD, MS), driving collaborations between clinical, tech and pharma industry leaders. Focused on developing cognitive/motor digital biomarkers to democratize access to therapy/diagnosis. Solid values and skills serve/power his vision.
As a Senior Machine Learning Scientist at Biogen, I contribute to the development of transformative digital health solutions by leveraging advanced machine learning, data engineering, and analytics. My role bridges human biology, sensor technology, and clinical development to support decision-making and improve patient outcomes in highly complex neurological and rare diseases. My role involves: - Designing and implementing sophisticated end-to-end data pipelines to uncover potential biomarkers and endpoints from multimodal sensor-derived data. - Building epidemiological and disease forecasting models by integrating real-world data sources to support clinical trial operations. - Consulting on digital endpoints and sensor technologies to optimize clinical trial protocol design and execution. - Co-creating strategic digital health products for disease monitoring and modeling in collaboration with cross-functional internal teams and external stakeholders. - Conducting technical, analytical, and clinical validation studies, and presenting findings at conferences and in peer-reviewed publications.
The Innovation, Technology Transfer and Entrepreneurship Club aims to promote contact between scholarship recipients working in Galicia and those outside its borders to serve as a forum for debate and a space for collaboration between said scholarship holders. As a Club President, my primary responsibilities include: - Observing entrepreneurial activity in Galicia and studying its characteristics and evolution. - Enhancing the quality of the club by proposing and organizing activities and workshops to provide club members with the necessary training to contribute effectively to their professional development in close collaboration with the Barrié Foundation. - Actively seeking out individuals with experience and talent to serve as speakers, trainers, or collaborators for club events and initiatives. - Encouraging and motivating club members to participate regularly in club activities, as well as promoting engagement with the Association's website and social media channels. - Facilitating communication and networking among club members and ensuring their contact information is up-to-date in coordination with the Association. - Collaborating with fellow delegates to uphold the mission and objectives of their respective clubs, develop strategic initiatives beneficial to the Association and the Barrié Foundation, and foster joint activities that promote synergy and collaboration among club members. Achievements: - Organised the "I Galician Healthcare Innovation Symposium" (2016), managing budget, resources and a small team of 3 people. Proposed a panel of 20+ experts in different domains of Healthcare Innovation. Managed the representation costs of 4 international speakers. Represented the organising committee on TV, Radio and Journals. - Organised the "AI for healthcare applications" at the "Humans in the AI era" (2022) - Public Relations of the club and the Scholars Association in AI, Robotics, and Digital Health topics.
As a Data & AI Specialist at Compassana, I contributed to transforming the digital healthcare ecosystem by developing scalable and innovative solutions for data integration, analytics, and decision-making. My work empowers seamless collaboration between patients, healthcare providers, insurers, and external technology partners to improve healthcare accessibility and quality. My role involved: - Designing and implementing concepts for standardized, flexible data integration frameworks across ecosystem partners. - Developing proof-of-concept projects for data integration and interoperability. - Structuring, cleaning, and optimizing healthcare data while ensuring its usability for cross-functional teams. - Collaborating with Customer Success and Product Development teams to align solutions with business needs. - Defining and realizing use cases with external technology providers, fostering innovation and scalability. - Supporting or leading initiatives based on technical and domain expertise, including FHIR and HL7 standard implementation. Achievements: - Led the creation of a data integration concept that improved collaboration efficiency across partners. - Delivered successful proof-of-concept projects for key healthcare data use cases, enabling actionable insights for decision-making. - Led the design of a comprehensive Data & AI Strategy for Compassana delivering a workflow for Data Collection/Integration and Data Analytics for business, operational and clinical/scientific insights at Compassana. - Championed the adoption of FHIR and HL7 standards, facilitating seamless communication across the healthcare ecosystem. - Developed data pipelines that reduced processing time and improved data accessibility for internal and external teams. - Spearheaded collaborative projects with external technology providers, driving innovation in healthcare technology. - Contributed to fostering an inclusive corporate culture and dynamic start-up environment at Compassana.
As a Data Scientist on the Digital Biomarkers Data Science team, I played a pivotal role in advancing precision and personalized medicine by developing and validating transformative digital measures and algorithms using biometric monitoring technologies (BioMeTs). My role involved: - developing and implementing end-to-end signal processing pipelines, - engineering features and disease models for potential biomarkers/endpoints from sensor-based BioMeT data, - performing technical, analytical, and clinical validation analyses and communicating results, - supporting BDH Solutions’ design and development of novel sensor-based solutions. Achievements: - Co-led a collaboration with big-tech stakeholders, which resulted in the data-driven discovery of cognitive impairment traits via an explainable AI unsupervised clustering algorithm. - Implemented a novel visualization technique for monitoring decentralized clinical trial participants’ daily behavioural patterns. - Identified relevant cognitive function traits through clustered visualization of correlational analyses of Daily Life phone-based activities. - Co-organised an internal hackathon by securing significant funding, saving 6+ months of remote work. - Built ML and Data Engineering Operation pipelines for insight generation and disease modelling, enabling 10+ other scientists. - Consulted for strategic executive reports, providing technical and scientific insights influencing leadership decisions. - Spearheaded the creation of a reporting standard for end-to-end data processing and evidence generation. - Implemented cognitive/motor function measures and reduced data loss by 10% by developing intelligent data recovery pipelines and novel potential biomarkers. - Managed a biannual budget for scientific and team-building activities. - Co-authored multiple publications on cognitive and motor biomarkers, contributing to bridging the gap between research in neuroscience and technology to meet patients' needs.
As a PhD student, my role was to use EEG signals to inform neurorehabilitation therapy and provide patient-tailored rehabilitation for people with motor disorders. Leveraging my experience in experimental techniques, signal processing, and data modelling, I developed neural and behavioural biomarkers from complex multimodal time-series data. Utilizing advanced technologies such as AR/VR simulation and EEG integration with movement sensors and eye-tracking systems, I investigated neural correlates of visual attention, visuomotor integration, and embodiment. My research delved into the intricate relationship between motor function and neural motor/cognitive processes, leveraging EEG imaging to elucidate connections between resting-state networks and motor performance. Collaborating closely with clinicians, our work has shed light on how task instructions influence cognitive and motor performance during training. By harnessing EEG-based neural biomarkers, I contributed to future personalized medicine approaches, where insights into patients’ motor and cognitive neural status inform tailored treatment or training strategies. Achievements: - Developed AR/VR-based robotic (C++) and videogame (C#) systems for motor/cognitive neurorehabilitation of simulated Activities of Daily Living - Co-designed and conducted 4 clinical neuroscience observational studies with 100+ participants. - Developed EEG, Transcranial Neuro-Stimulation, movement, and eye tracking-based neural and behavioural biomarkers of motor and cognitive function (focus: visual attention, higher executive and visuomotor integration functions, and perceptual embodiment), integrating ML/statistical modelling approaches. - Supervised 5+ BSc and MSc students. Lectured 3 courses at UDC and UniBe. - Authored 10+ peer-reviewed publications and oral communications out of 2 clinical studies in FND (NCT05086380) and Stroke (NCT04759976) populations. - Co-led the regulatory and ethical approval for both studies.