Research Assistants
I am always looking for motivated research assistants, and I was lucky to work with people who went on to other exciting opportunities after having worked for me (see below!).
Minimal Requirements
Here is the list of minimal requirements that you need to master in order to be able to work for me:
- You know at least 70% of what is taught in this course I teach at SciencesPo.
- That’s it. 😉
RA Hall of Fame 🎉
Here they are! My current and previous research assistants in one place! I can only claim minimal influence in their successful careers 🤓.
| Name | Project/Tools | Tasks | Now at |
|---|---|---|---|
| Hugo L’Huillier | Fertility / julia, git | Numerical solution of complex nonlinear model with julia, Plots.jl graphics | Princeton Econ PhD |
| Vincent Viers | ScPoEconometrics, ZTRAX, Airbnb / R, postgreSQL, git | advanced data wrangling with data.table, dplyr, spatial analytics with sf. Bash scripting on remote machines. Econometrics tutorials in Rmd | Artefact Paris |
| Jeanne Sorin | ZTRAX, Chicago / R, git | advanced data wrangling with data.table, dplyr, spatial analytics with sf, FE estimation with lfe. Work on google VM. | PhD U Chicago |
| Alberto Nasi | ZTRAX, Fertility, Landuse / R, git | advanced data analytics with data.table, dplyr, spatial analytics with sf. Work on google VM with big data. Manual data collection from historical maps. Pulling historial US census data with censusapi | Bocconi PhD Econ |
| Martin Bretschneider | London Buses, Spatial Rents / R, git | advanced data analytics with data.table, dplyr, spatial analytics with sf. Arduous hand collection and assemblance of custom built dataset on london bus garage ownership history | USI Lugano PhD Econ |
| Xinyu Dai | London Buses, Spatial Rents / R, git | advanced data analytics with data.table, dplyr, spatial analytics with sf. Highly complex data analysis tasks, nested logit estimation | Brown PhD Econ |
| Ian Hsieh | London Buses, Spatial Rents / R, git | advanced data analytics with data.table, dplyr, spatial analytics with sf. Fantastic follow-up on Xinyu’s work, nested logit estimation in a very complex data setting | Data Scientist |