Wangshu Zhang
About Wangshu Zhang
Wangshu Zhang is a statistician with extensive academic and professional experience in statistics, computational biology, and bioinformatics. Currently employed at Kite Pharma since 2018, Zhang holds a PhD in Computational Biology and Bioinformatics from the University of Southern California.
Work at Kite Pharma
Wangshu Zhang has been employed at Kite Pharma since 2018, serving as a Statistician. In this role, Zhang works remotely and contributes to the company's mission in the biopharmaceutical sector. The position involves applying statistical methods to support clinical trials and product development, ensuring data integrity and regulatory compliance.
Education and Expertise
Wangshu Zhang holds a Doctor of Philosophy (PhD) in Computational Biology and Bioinformatics from the University of Southern California, completed in 2016. Prior to this, Zhang earned a Master of Science (M.S.) in Statistics from the same institution in 2017. Zhang's academic background also includes a Master of Science (M.S.) in Bioinformatics from Tsinghua University, completed in 2011, and a Bachelor of Engineering (B.E.) in Control Science and Theory from Harbin Engineering University, achieved in 2008.
Previous Experience at Gilead Sciences
Before joining Kite Pharma, Wangshu Zhang worked as a Statistician at Gilead Sciences from 2016 to 2018. During this two-year tenure, Zhang was involved in statistical analysis and contributed to various projects within the organization, focusing on data-driven decision-making in the biopharmaceutical field.
Academic Background
Wangshu Zhang's academic journey began at Harbin Engineering University, where Zhang obtained a Bachelor of Engineering (B.E.) in Control Science and Theory from 2004 to 2008. Following this, Zhang pursued advanced studies at Tsinghua University, earning a Master of Science (M.S.) in Bioinformatics from 2008 to 2011. This was followed by a PhD in Computational Biology and Bioinformatics at the University of Southern California from 2011 to 2016, culminating in a Master of Science (M.S.) in Statistics from 2016 to 2017.