Yi (Lisa) Mu

Associate Director Of Biostatistics @ Nektar Therapeutics

About Yi (Lisa) Mu

Yi (Lisa) Mu serves as the Associate Director of Biostatistics at Nektar Therapeutics in South San Francisco, California, a position she has held since 2020. She holds a Doctorate in Epidemiology from the University of California, Davis, and two Master's degrees in Statistics and another field from the University of Wisconsin - Madison and Cal State East Bay.

Work at Nektar Therapeutics

Yi (Lisa) Mu has served as the Associate Director of Biostatistics at Nektar Therapeutics since 2020. In this role, she contributes to the statistical analysis and interpretation of clinical trial data, supporting the development of innovative therapies. Her work is essential in ensuring that the statistical methodologies applied align with regulatory standards and scientific rigor. Based in South San Francisco, California, she collaborates with cross-functional teams to drive projects forward.

Education and Expertise

Yi (Lisa) Mu holds multiple advanced degrees in relevant fields. She completed her Master’s degree at the University of Wisconsin - Madison from 2004 to 2006. Following this, she earned another Master’s degree in Statistics from Cal State East Bay - College of Business & Economics between 2006 and 2008. She further advanced her education by obtaining a Doctor of Philosophy in Epidemiology from the University of California, Davis, from 2012 to 2017. This educational background provides her with a strong foundation in biostatistics and epidemiological research.

Background

Yi (Lisa) Mu has a robust academic and professional background in biostatistics and epidemiology. Her educational journey spans several prestigious institutions, where she focused on statistics and public health. This diverse educational experience has equipped her with the necessary skills to analyze complex data sets and contribute to the field of biostatistics effectively. Her career trajectory reflects a commitment to advancing healthcare through data-driven decision-making.

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