DATA SCIENCE
Understanding complex issues requires leveraging the combination of large data sets and advanced models.
These are, by themselves, not solutions however; meaningful results can only be achieved by asking the right questions
and correct application of the models.
I am passionate about applying the skills learned during my time in academia to real-world problems.
In particular, how machine learning models (e.g. random forests, logistic regressions etc.) can be used to advance the goals of public health institutions.