Likai Chen

Dr. Likai Chen is at the forefront of discovery in the realm of statistics and data science as an Assistant Professor at Washington University in St. Louis. With a robust academic foundation, she earned her doctorate in statistics from the University of Chicago in 2018. Her scholarly pursuits are deeply rooted in high dimensional data analysis, time series, and statistical learning theory, where she seeks to unravel complex data patterns and contribute to the advancement of statistical methodologies. Dr. Chen's research is characterized by its innovative approach to understanding and interpreting vast datasets, which are increasingly prevalent in today's data-driven world. Her work in high dimensional data analysis focuses on developing techniques that can efficiently process and extract meaningful insights from large volumes of data. In the realm of time series, she explores the temporal dynamics of data, aiming to enhance predictive models and improve decision-making processes across various fields. In addition to her research, Dr. Chen is dedicated to fostering a collaborative and engaging learning environment for her students. She is passionate about mentoring the next generation of statisticians and data scientists, equipping them with the skills and knowledge necessary to tackle the challenges of modern data analysis. Through her teaching and research, Dr. Chen continues to make significant contributions to the field of statistics, driving forward the understanding and application of statistical learning theory in high dimensional contexts.