Miaomiao Zhang
About Miaomiao Zhang
Miaomiao Zhang is a doctoral student at Harvard Business School, focusing on human-AI knowledge production and organizational innovation processes. She has a diverse background in research and analytics, having previously held positions at institutions such as Mailchimp, Microsoft, and The London School of Economics.
Current Role at Harvard Business School
Miaomiao Zhang has been working as a Doctoral Student at Harvard Business School since 2022. In this role, she is part of the Technology & Operations Management Unit, focusing on research related to human-AI knowledge production, organizational innovation processes, and entrepreneurship. Her current research aims to explore the implications of large language models (LLMs) in various industries.
Previous Experience at Harvard Business School
Prior to her current position, Miaomiao Zhang served as a Research Associate at Harvard Business School from 2020 to 2022. In this capacity, she contributed to various research projects and gained valuable experience in the academic environment of one of the leading business schools in the world.
Internship Experience
Miaomiao Zhang has held several internships that provided her with practical experience in analytics and research. She worked as a Marketing Analytics Intern at Mailchimp for three months in 2020, and as a Data Intern at R/GA for two months in 2019. Additionally, she completed a Research Internship at Microsoft Accelerator in Shanghai City, China, in 2017.
Educational Background
Miaomiao Zhang has a strong academic background in applied mathematics, statistics, and economics. She earned a Bachelor of Science degree, graduating Summa Cum Laude, from Emory University, where she studied from 2016 to 2020. She also completed a General Course in Economics at The London School of Economics and Political Science (LSE) from 2018 to 2019 and participated in a Summer Session in Statistics at Stanford University in 2018.
Research Interests
Miaomiao Zhang's research interests include human-AI knowledge production, organizational innovation processes, and entrepreneurship. She is open to discussions regarding the application of large language models (LLMs) in industry, indicating her engagement with contemporary issues in technology and business.