Brad Chattergoon
About Brad Chattergoon
Brad Chattergoon is an Economics Research Analyst currently working at Harvard Business School, where he investigates topics in Innovation and Labor Economics. He holds degrees from the California Institute of Technology and Harvard University, and has previously worked at institutions such as Yale School of Management and Caltech.
Current Role at Harvard Business School
Brad Chattergoon serves as an Economics Research Analyst at Harvard Business School since 2019. In this role, he investigates questions in Innovation and Labor Economics alongside Professor William Kerr. His responsibilities include preparing analyst reports that focus on trends in ethnic patenting, software patenting, and patenting geography. Chattergoon is also currently developing a BERT Language Model aimed at classifying software patents using patent descriptions.
Educational Background
Chattergoon earned a Bachelor of Science (B.S.) in Applied and Computational Mathematics from the California Institute of Technology, completing his studies from 2011 to 2015. He later pursued a Master of Business Administration (M.B.A.) at Yale School of Management, where he studied Business Administration and Management from 2015 to 2018. Additionally, he obtained a Master of Liberal Arts in Data Science from Harvard University, studying from 2019 to 2022.
Previous Experience at Yale School of Management
Prior to his current role, Chattergoon worked at Yale School of Management as an Economics Research Statistician from 2018 to 2019. He also served as a Teaching Assistant at the same institution from 2016 to 2018. During his tenure, he contributed to various research projects and supported faculty in delivering course content.
Contributions to Data Science and Economics
Chattergoon has made significant contributions to the field of data science and economics. He built an ETL pipeline in Python to process patent data from the US Patent Office web API and developed an LDA topic model representation of patent descriptions. His innovative approach to data management reduced a data output pipeline from 16 hours to just 5 minutes.
Writing and Online Presence
Chattergoon shares insights on economics, strategy, and policy through his blog, renaissanceeconomist.com. He also hosts sample Data Science and Analyst projects on GitHub, showcasing his work and methodologies in the field.