Yoonji Kim

Yoonji Kim is an accomplished data scientist with significant expertise in statistical bioinformatics and causal inference. At Pfizer, Yoonji developed extrapolation models using Bayesian power prior models to enhance study efficacy. As a Senior Scientist at Bristol Myers Squibb, responsibilities include advanced statistical analysis relevant to bioinformatics. Previous experiences include formulating a Bayesian hierarchical model to optimize industrial material processes while at The Ohio State University, and building functional time-series models to predict drought intensity trends. Additional experience includes imputing large meteorological datasets at the National Science Foundation. Currently, Yoonji serves as a Data Scientist at Lyft, leveraging extensive knowledge in statistics gained from a PhD obtained at The Ohio State University.