Yuanyuan Xiao
About Yuanyuan Xiao
Yuanyuan Xiao serves as the VP of Data Science at Sonoma Biotherapeutics, where she has worked since 2021. With a strong background in biostatistics and bioinformatics, she has held various leadership roles in the biotechnology sector, contributing to advancements in cancer therapies and companion diagnostics.
Work at Sonoma BioTherapeutics
Yuanyuan Xiao serves as the Vice President of Data Science at Sonoma Biotherapeutics, a position she has held since 2021. In this role, she focuses on leveraging data science to enhance therapeutic development. Her work involves integrating complex data sets to inform decision-making processes in drug development. Sonoma Biotherapeutics is located in South San Francisco, California, where Xiao contributes to advancing the company's mission through her expertise in data-driven methodologies.
Previous Experience in Data Science and Bioinformatics
Before joining Sonoma Biotherapeutics, Yuanyuan Xiao was the Head of Data Science and Bioinformatics at Engine Biosciences from 2018 to 2021. Her earlier roles include serving as Associate Director at Gilead Sciences from 2015 to 2017 and Director and Group Lead of Biomarker Biostatistics at Gilead Sciences from 2017 to 2018. Additionally, she worked at Genentech as a Senior Statistical Scientist from 2013 to 2015 and as a Statistical Scientist from 2012 to 2013.
Education and Expertise
Yuanyuan Xiao has an extensive educational background in biostatistics and pharmaceutical sciences. She earned her Ph.D. in Pharmaceutical Sciences with a focus on Bioinformatics from the University of California, San Francisco. She also completed postdoctoral training at UCSF. Additionally, she holds a Master's degree from Brown University and a Bachelor's degree in Biochemistry from Peking University. Her expertise includes synthetic lethality, companion diagnostics, and the molecular subtyping of diseases.
Academic Background
Yuanyuan Xiao's academic career includes a position as an Assistant Professor in the Department of Biostatistics and Epidemiology at UCSF from 2007 to 2012. During her tenure, she contributed to the academic community through research and teaching. Her academic training laid the foundation for her subsequent roles in the pharmaceutical industry, where she applies her knowledge to real-world challenges in drug development.
Research and Specializations
Yuanyuan Xiao specializes in the development of companion diagnostics and utilizes principled machine learning approaches to identify predictive and pharmacodynamic biomarkers for targeted therapies. Her research focuses on translational integrative research, combining data from various biological disciplines to advance drug development. She is also involved in molecular subtyping of diseases, which categorizes diseases based on their molecular and genetic characteristics.