I am a stochastic analyst and applied mathematician with a Ph.D in Applied Mathematics from Brown University and postdoctoral experience at the University of British Columbia, the University of North Carolina and the Statistical and Applied Mathematical Sciences Institute.

My research interests lie in statistics and scientific computing. I currently work on clustering and other unsupervised machine learning algorithms applied to natural catastrophe risk analysis in insurance at AIR Worldwide. I also enjoy data science challenges on Kaggle.

Hobbies-wise, I am an accomplished pianist and an avid figure skater.