Danni Yu
About Danni Yu
Danni Yu is the Director of Biostatistics at Nektar Therapeutics, where she leads statistical studies and drives biomarker data integration. She holds a Ph.D. in Statistics from Purdue University and has extensive experience in clinical trial methodologies and data analysis.
Work at Nektar Therapeutics
Danni Yu serves as the Director of Biostatistics at Nektar Therapeutics, a position held since 2020. In this role, Yu leads statistical studies focusing on intratumoral immunotherapy. She has developed innovative projects that streamline analysis deliverables, reducing both time and costs while ensuring alignment with FDA guidance. Yu also drives the integration and analysis of biomarker data across all studies, contributing to the company's research and development efforts in biostatistics.
Education and Expertise
Danni Yu earned her Ph.D. in Statistics from Purdue University, completing her studies from 2006 to 2013. She also holds a Master of Science in Mathematical Statistics from the same institution, which she obtained between 2006 and 2008. Her academic background provides a strong foundation for her expertise in statistical procedures, particularly in clinical trials and methodologies for dose selection and patient identification.
Background
Before her current role, Danni Yu accumulated extensive experience in biostatistics and research. She worked as a Senior Research Scientist Statistician in Oncology at Eli Lilly and Company from 2013 to 2020, where she led statistical analyses for clinical and biomarker studies of 12 compounds. Additionally, Yu has held positions at the National Institutes of Health and EMBL, further enhancing her interdisciplinary experience in bioinformatics and clinical studies.
Research Interests
Danni Yu's research interests encompass a range of topics within biostatistics and clinical research. She focuses on statistical procedures in clinical trials, methodologies for dose selection, and patient identification in first-in-human trials. Her work also includes biomarker-driven simulations for late-phase design and clinical procedures aimed at ensuring data quality control and analyses.
Technical Skills
Danni Yu possesses a strong skill set in R programming, which is essential for statistical analysis and data visualization in her field. Her diverse interdisciplinary experience spans bioinformatics, biomarker studies, preclinical and clinical research, as well as real-world studies, enabling her to effectively contribute to various aspects of biostatistics and data analysis.