Research Bio

Serina Y. Chang's research falls at the intersection of AI and human behavior, including modeling human behaviors with AI, improving and evaluating human-AI interaction, and developing AI tools for societal decision-making, with a focus on public health. Her work is recognized by the KDD Dissertation Award, KDD Best Paper Award, Google Research Scholar Award, NSF Graduate Research Fellowship, Meta PhD Fellowship, EECS Rising Stars, and Rising Stars in Data Science, and has been featured by over 650 news outlets, including The New York Times and The Washington Post. 

Chang is an Assistant Professor jointly appointed in Electrical Engineering & Computer Sciences and Computational Precision Health and is affiliated with the Berkeley AI Research (BAIR) Lab. She is an expert in applied machine learning, data science, human networks, computational social science, and AI for public health and infectious diseases.

Research Expertise and Interest

machine learning, network science, human mobility, public health, graph representation learning