Kyla Chasalow

I am a Ph.D. student in the Harvard Department of Statistics advised by Kosuke Imai and Xiao-Li Meng. My research interests are in:

• Missing data problems – especially data combination, record linkage, and causal inference.
• Multi-phase inference – data collection, de-duplication, privacy protection, and other aspects of data (pre)processing pipelines and their downstream consequences.
• All this especially for social science applications.

I also love to read and think about the history, philosophy, and sociology of statistics.