cv

• PhD in Applied Math
• Advised by Bamdad Hosseini and Sasha Aravkin

• MS in Applied and Computational Mathematics

• BA in Mathematics
• Minor in Computer Science

NSF Mathematical Sciences Postdoctoral Research Fellow

• Mentored by Andrew Stuart

Graduate Student Researcher

• I worked for the Math Sciences and Computational Algorithms team to provide support to modelers, as well as develop new statistical tools and ideas for modeling disease.
• I developed a custom Gaussian process regression package that scales to millions of observations and predictions across time, location and demographics.

Machine Learning Engineer

• Improved model for customer retention using XGBoost with proportional hazards
• Developed and implemented improved statistical estimators for retention predictions
• Built and launched experiments for uplift models for making budget recommendations that directly optimize revenue
• Applied causal inference techniques to better understand the relationship between pricing, conversion, and retention

• NSF Mathematical Sciences Postdoctoral Research Fellowship

• Carl E. Pearson Fellowship for outstanding work by a PhD student in the Department of Applied Mathematics

• Boeing Excellence Award for Research in Applied Math

• Best Undergraduate Thesis in Mathematics
• Outstanding Major in Mathematics