Jacob Jaffe
Postdoctoral Fellow,
Stanford
jacobjaf@stanford.edu
I study computational social science methods, including deep learning, queueing theory, field experiments, surveys and survey experiments, combinatorics, and more!
My research uses these techniques to study understudied or insufficiently understood topics in the administration of American elections, survey methodology, and American partisanship.
Interests
- Deep Learning
- Computational Methods
- Election Administration
- Survey Research
- Text Analysis and Natural Language Processing
- Field Experiments
- Causal Inference
- Administrative Data
Academia
Stanford University
2023
- Current
Postdoctoral Fellow
Massachusetts Institute of Technology
2017
- 2023
Ph.D. Political Science
Rice University
2013
- 2017
B.A. Political Science, Statistics, Policy Studies