ICR-CTSU Early Phase and Adaptive Trials

Emily is a second year PhD student. Her main research interest is in the incorporation of Patient-reported Outcomes (PROs) in early phase dose-finding trial designs. She has particular interest in Bayesian adaptive designs and Monte Carlo methods.

Being educated in US, Xinjie obtained her PhD degree in Mathematics and Statistics with concentration on Biostatistics from Georgia State University in 2020 and M.S degree in Quantitative and Computational Finance from Georgia Tech in 2014. Her PhD research focused on developing new semi-parametric and non-parametric estimation methods especially empirical likelihood methods. Xinjie started her career as a senior biostatistician in Novartis and then worked in late-phase oncology studies in a global biotech company. She Joined ICR in 2023 and would like to deep dive into innovative early phase trial designs under ICR-CTSU’s disciplines.

Xiaoran received his PhD in Biostatistics from University of Oslo in Norway, where he developed a mathematical model to simulate breast cancer treatment using multi-type patient data. He is interested in integrating multi-scale cancer data using mechanistic models and machine learning techniques in order to provide precise therapeutic recommendations as well as novel clinical study designs and interventions.