I study Innovation + (AI, Networks, Organizations)
Contact: hbao at hbs dot edu
#BLM #I stand for open science
Hi there! My name is Honglin Bao (he/him). I go by Honglin - 虹霖🏳️🌈. I am a computational social scientist.
My research falls into the broader categories of Innovation + (AI, Networks, Organizations). I have the privilege to work with a bunch of good computational social scientists -- like Dr. Misha Teplitskiy (Michigan UMSI), Drs. Amit Goldenberg and Anjali M. Bhatt (HBS), among other smart brains -- on cool projects. I am especially interested in novelties in science, technology, language, cultural products and so on, examining their measurement, contagion and potential to trigger organizational and market shifts. I use and develop a wide spectrum of quantitative techniques (networks, machine learning/NLP/big data, causal inference, and theoretical modeling), complemented by some experimentation.
My first-authored papers, across computer science, network science, and social science, are forthcoming or appear in top refereed journals and proceedings like Nature Communications. I got multidisciplinary training in mathematics, computer science, social science, and evolutionary biology. Before coming to HBS, I graduated from Michigan State where I researched group coordination. I also briefly worked in the tech industry and dedicated several years to volunteering with LGBTQ public health in China. I'm a big fan of various sports -- for example CrossFit -- when I'm not doing research.