Tuli De

Tuli has over 10+ years of combined experience in biostatistics and health economics and outcomes research (HEOR) and real-world evidence (RWE) projects. Tuli’s technical skills include analysis of clinical trials and observational data, widespread statistical expertise across various methods and approaches includes survival analysis, patient reported outcome analysis, mixed effects models, bootstrapping and clustering, correlation and high-dimensional data analyses., Bayesian techniques, imputation methods and propensity score techniques. Her therapeutic area expertise includes oncology, respiratory, neuroscience, cardiovascular disease, rare disease and public health. She holds a PhD, MPhil and MSc in Statistics.