I entered academia at a later stage in life after having studied and worked in the fields of international relations and governmental advisory. While pursuing an MSc in Statistics to obtain some quantitative skills to use for my professional growth, I uncovered a latent passion for data science, research and teaching which lead me to become Assistant Professor at Auburn University after different academic and non-profit experiences.
A quick overview of my different experiences inside and outside academia up to now
This part is under construction
Many machine/statistical-learning techniques are tailored for accurate prediction but not necessarily for ease of interpretation. This project aims to achieve both.
Using a wavelet-decompositon of a random field, the aim is to efficiently estimate (latent) spatial models.
Given the increased push for data privacy, this project aims at delivering appropriate statistical tools for reliable inference in these settings.
There is considerable research on improving navigation accuracy of unmanned (aerial) vehicles. This direction of research focuses on improving stochastic sensor calibration to integrate navigation filters and produce more accurate navigation performance.
For a complete list see the CV section in the Menu