About

Andersen Chen is a highly skilled Machine Learning Engineer with almost 9 years of relevant experience in the tech industry. He is currently working at Facebook as a Senior Machine Learning Engineer, where he is responsible for designing and implementing data-driven products, as well as building the underlying data infrastructure to make these products possible. Prior to joining Facebook, Andersen worked as a Senior Machine Learning Engineer at Zocdoc, where he was responsible for designing and implementing data-driven products, as well as architecting and building the underlying data infrastructure to make these products possible. He is also a former Data Scientist at Chartbeat, where he researched novel machine learning algorithms and used them to build new products. Andersen has a strong educational background, having completed a Sc. B in Mathematics and Computer Science from Brown University in 2014. He has a wide range of technical skills, including expertise in ML, Research Scientist, infra, Data Scientist, test, Kafka, Backend, and Web. Throughout his career, Andersen has demonstrated a strong ability to work collaboratively with customers and product teams to identify potential use cases for machine learning, and build distributed systems that scale his algorithms to handle millions of web visitors in real-time. He has also developed a novel Thompson sampling model for A/B testing headlines, which optimizes not just for click-through rate but also for behavior after the click (e.g. time on destination page). Overall, Andersen is a highly skilled Machine Learning Engineer with a strong track record of success in the tech industry. He is passionate about using his expertise to build innovative products and solutions that can make a real difference in people's lives.