I am a data scientist and machine learning engineer at Whisper, where I have been for since March 2014. I have worked on a wide variety of large-scale machine learning problems at Whisper, including user state prediction, recommender systems, and text categorization. Day to day, I do everything from building models to writing queries to doing the engineering heavy-lifting required to put ideas into production. My primary interests are in natural language processing (NLP) and deep learning, which comprise much of my work at Whisper.
Before Whisper, I worked at an adtech startup in Taipei, Taiwan. Before that, I was a Blakemore fellow at Tsinghua University in Beijing, China. I am fluent in Mandarin (and worked as a translator for a time) and hold an MA in Chinese History. I earned my BA in Mathematics from Harvard in 2009.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.