Yangfan Ren is an accomplished statistician and data scientist with a strong educational background in applied mathematics and statistical science, holding a Bachelor of Science from the University of Science and Technology Beijing, a Master of Science from Duke University, and a PhD in Statistics from Rice University. Experience includes working as a statistician at Bayer, where a Bayesian framework for predicting recurrent events in clinical trials was designed, and serving as a data scientist at Meta, where a Gradient Boosted Decision Tree model was developed to classify WhatsApp business users, resulting in a 10% increase in identification accuracy compared to previous models.
This person is not in the org chart
This person is not in any teams
This person is not in any offices