I am a senior data scientist at Attest. I am also a member of the Quanteda Initiative and a guest lecturer for the LSE summer school course Introduction to Data Science and Machine Learning.
As a computational social scientist, my core expertise lies in
Latent variable analysis: using psychometric tools in R, modelling latent traits of individuals to obtain measurements
Predictive modelling: developing machine learning pipelines in Python with an emphasis on robust design and methodology to identify associations
Causal inference: conducting experiments utilising various types of interventions and computing counterfactuals to understand the why
Previously, I was a postdoctoral researcher in analytic software development at the Department of Methodology at the London School of Economics. In addition, I was a research scientist at Uppsala University working on the automation of the Uppsala Conflict Data Program (UCDP) using natural language processing (NLP) and active learning.
Most of my side projects are on GitHub. I contribute my blog to R-Bloggers, a hub for all things R that I have learned a lot from, and RWeekly. I am starting a Python data science blog in 2020—stay tuned!