About

I am a researcher and actuarial data scientist working at the intersection of machine learning, statistical modeling and insurance analytics.

My work focuses on the development and application of data-driven methods for prediction, uncertainty quantification and decision-making.

I currently work in the insurance industry, where I develop and apply quantitative and machine learning approaches to real-world analytical problems. This experience has reinforced my interest in building models that are not only performant, but also interpretable, reliable and practically useful in complex environments.

My research interests include:

• Machine Learning
• Statistical Learning
• Probabilistic Modeling
• Uncertainty Quantification
• Predictive Analytics

Contact

Feel free to reach out regarding research collaborations or interdisciplinary projects involving AI, statistics and risk modeling.