Mu Shan is a seasoned biostatistician and computational statistician with a robust educational background, including a Master's degree in Statistics from Bowling Green State University and a Ph.D. in Biostatistics from Indiana University School of Medicine. Professional experience includes a significant role as a Principal Computational Statistician at Eli Lilly and Company since April 2022, following a previous position as a Biostatistician at Indiana University School of Medicine from March 2018 to July 2021. Additional expertise encompasses analytics roles at Google and Valence Health, as well as an internship at Stanford University. Currently serving as an Advisor in statistics at Eli Lilly and Company, Mu Shan boasts a strong record of academic excellence with a GPA of 4.00 in the Master's program and 3.98 in the Ph.D. program.
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