I study empirical asset pricing, large language models, and textual analysis.

My research is in quantum error correction using techniques from representation theory.

I am a scholar of the early American republic, specializing in political culture, gender, and partisan development at the turn of the 19th century. More specifically, my work focuses on how elite women used sociability to influence and facilitate the uneven evolution of the two-party system in the United States. 

My research focuses on the spin dynamics of photoexcited molecules and their application in quantum information science. The Mao group will develop molecular qubits and quantum sensors by combining synthetic design with time-resolved spectroscopy and magnetic resonance techniques.

My research is in pioneer factors and cell states in early development and tumorigenesis.

My research focuses on the neurocognitive and neurobiological basis of reading and executive function. My expertise is in structural neuroimaging and neuromodulation techniques. 

My research is in the areas of statistics, graphical model, causal discovery, and biomedical data.

My research interests focus on developing artificial intelligence and digitization methods to optimize manufacturing systems that prioritize human-centric design and promote robotics learning.

My research integrates data visualization, artificial intelligence, and human-AI interaction to develop data analysis and visualization techniques and systems that enhance understanding and decision-making for complex societal issues and human behaviors.

I study the evolution and ecology of beneficial host-microbe interactions. I am interested in understanding how these associations persist in complex, species-rich environments.