Skills Highlights
Research proficiency
in machine learning methods for non-life insurance, particularly in Bayesian modelling, predictive uncertainty, fairness, and interpretability.
Teaching and mentoring experience
including Master's thesis supervision and the planning and coordination of exercise sessions in statistics, and actuarial science.
Strong communication skills
demonstrated through academic publications, conference presentations, seminars, and research workshop organization.
Collaborative research experience
across academic institutions, including interdisciplinary work at the intersection of statistics, machine learning, and actuarial science.