Wenbo Wang

Wenbo Wang is an Applied Scientist at Amazon, where they leverage machine learning to enhance the shopping experience for customers globally. Previously, Wenbo worked as a Software Engineer at Google, focusing on improving bidding, relevance, and CTR models for Google Shopping Ads. Earlier, Wenbo was an Applied Scientist at Amazon, developing algorithms for substitute product identification and search ranking models. Wenbo earned a Ph.D. in Mathematical Science from Binghamton University in 2019, with research interests in statistical machine learning and a focus on building classifiers with both mathematical elegance and superior performance. They have published in prestigious conferences and journals, showcasing their expertise in machine learning and programming languages such as Python, C++, and R.