I have a PH degree in Pharmaceutical sciences by the Barcelona University. I started my career as a researcher in Neurochemical department within the Barcelona Biomedical Research Institute (IIBB), where I developed my PH degree focused on Alzheimer’s disease and Inflammation.

Once I completed my Ph Degree in Neuroscience, I moved to the clinical industry, working most of my career in Data Management, first in a small CRO company and later in the pharma industry.

For along almost 12 years, I was managing phase III clinical trials acting as Global Data Manager Lead, coordinating end-to-end data management activities (including SDTM development) mainly outsourced to global CROs. Apart of the oversight of clinical trials, part of my role as an expert in DM was to lead standardization on E2E data and processes.

On 2018, I completely changed my role and moved to the Quality area. Since then, I’m Director on Clinical Quality Compliance. On this role, I’m providing quality support to Biometrics functions (including DM, Programming and Statistics roles). Among other activities, I’m giving quality related advice and guidance, overseeing quality issues, CAPA implementation and risk management. Coordinating and supporting audit and inspections, as well as preparing teams to be inspection ready at all time.

Since 2020, I’m Regulatory Considerations Expert Group DMEG Chair on the Association for Clinical Data Management. The aim of the Regulatory Considerations Expert Group looks at providing guidance information on several areas surrounding regulations. The expectations and recommendations on implementation and what data management needs to be prepared for in readiness for inspection.

Luana is a keynote speaker, board member, lecturer, and advisor specializing in Legal Tech, Artificial Intelligence, and Global Digital Governance. She supports businesses, governments, and international institutions in designing AI governance strategies that go beyond compliance to foster ethical leadership, resilience, and sustainable innovation. Working at the intersection of law, technology, and society, she has contributed to major digital regulations, including the EU AI Act and the Digital Services Act. Widely recognized for advancing responsible AI and tech accountability, Luana helps organizations transform governance into a source of strategic clarity and competitive advantage in an increasingly complex digital landscape.

In recognition of her impact, she was named Best Legal Strategist in Responsible AI & Regulatory Compliance by the Global Legal Association (2025) and Best Responsible AI Leader by the Responsible AI Institute (2024).

More than 20 years experience in the pharmaceutical industry. Passionate about clinical research. Apply this passion and the ability to integrate personal and cultural differences, to create high performing teams in a respectful environment. Constantly perform above and beyond the limits of a role. Natural developer as motivate others on the same principles. Comfortable working out of the comfort zone. Top performer. Continuous improvement mindset, I embrace the change quickly as an opportunity to move things forward from the status quo. Critical thinker. Agile learner looking for motivating and challenging opportunities.

Himanshu Sahu is a Clinical Data Management Specialist at Nestle Clinical Research Unit with over 16 years of experience leading end‑to‑end clinical data management across global pharmaceutical and nutrition research. He is known for his expertise in data quality oversight, cross‑functional study leadership, and driving data‑strategy initiatives in collaboration with CROs and external service providers. A strong advocate of data storytelling, he leverages tools like Power BI to translate complex clinical data into actionable insights. His career includes key roles at Novartis, AstraZeneca, Alcon, Iqvia, and Cognizant, where he championed process optimization and innovation in data workflows. Himanshu holds an MSc in Biotechnology and a Postgraduate Certificate in Clinical Research & Data Management and is widely recognized for his strategic thinking and commitment to advancing data‑driven excellence in clinical research.

Mats Sundgren, PhD, MSc, is a distinguished authority in Health Data Strategy, serving both industry and academia. With an impressive career spanning over 37 years in the pharmaceutical industry, Mats has made significant contributions across various domains, including Discovery, Development, Manufacturing, IT R&D, Patents, Clinical Science, and Data Science & AI. His work places him at the forefront of technological innovation in the field.

In 2022, following an illustrious 12-year tenure as the global integration lead for Electronic Health Records (EHR) services at AstraZeneca, Mats expanded his professional endeavors. He now holds several key roles: Senior Industry Scientific Director and co-founder of the i~HD (European Institute for Innovation through Health Data), Executive Strategic Advisor for IgniteData, which develops a system-agnostic EHR-to-EDC solution for clinical trials, and Chairman of the Board of the Research Foundation IMIT (Institute of Managing Innovation and Technology). IMIT includes prominent institutions such as Chalmers University of Technology, Royal Institute of Technology, Lund University of Technology, and Stockholm School of Business. Additionally, he serves as a Board Member of the Center for Health Governance at Gothenburg University. In July 2024, Mats assumed the role of Scientific Adviser for IOMED, a company specializing in AI-powered technology for healthcare data activation. In March 2025, assumed the role of R&D Strategy Advisor for ZS Associates.

Mats has an extensive portfolio of work, including over 80 publications, books, and patents in Life Science, Economics, and Social Science. His areas of expertise encompass Health Data Science & AI, Clinical Science, Clinical Trials Management, Business Modelling, Innovation & Creativity Management, and Device Development.