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Dawnis Chow is a highly skilled data scientist with extensive experience across various roles in data analytics and research. Currently serving as the Lead Data Scientist at Box since September 2019, Dawnis is instrumental in applying advanced statistical methods to enhance customer retention, collaborating closely with divisions such as Customer Success and Marketing. Prior to this, Dawnis held the position of Senior Data Scientist at LG Ads, focusing on machine learning applications and data insights in television viewing patterns. With a background that includes a postdoctoral research associate role at Cornell University, where Dawnis investigated neuronal activity in larval zebrafish, and a graduate researcher position at UCLA, Dawnis possesses a strong foundation in complex data analysis. Educational qualifications include a PhD in Molecular, Cellular, and Integrative Physiology from UCLA, an MS in Biostatistics and Epidemiology from The Chinese University of Hong Kong, and a BS in Biological Sciences from Stanford University.