Radek, an expert in real world data assets and generation and real world evidence, has provided research services to life sciences for more than two decades. His research spans real world data assessment, outcome measurement and their real-world data applications. He held research and executive roles at top consulting and clinical-research organizations, driving innovation and team growth.

Miguel, a Professor of Epidemiology and Biostatistics at the Harvard T.H. Chan School of Public Health, specializes in causal inference for health research. His work advances methods to estimate causal effects from real-world data, shaping public health and clinical decision-making. He leads CAUSALab, a Center that develops innovative approaches to improve evidence-based medicine and health policy.

Mona, a healthcare leader with expertise in portfolio strategy, evidence generation, and outcomes research, held executive roles across life sciences (in biopharma, biotech, and non-for-profit sectors). Her work focuses on improving access and patient outcomes, through early planning and robust analytical approaches.  She was involved in building value-based data collection frameworks and launching blockbuster drugs.