I’m a Doctoral Researcher in Statistics and Actuarial Science, focused on quantitative analysis, programming, and problem-solving across real pricing and risk problems. My research combines pricing methodology with careful troubleshooting and attention to detail, including calibration and Greeks across stochastic-volatility and jump-diffusion settings.
I also turn research into reliable tools: I’ve designed, built, and maintained analytical software packages published on CRAN, and I’ve developed automated computational methods in C++ so results are reusable and dependable. Alongside my research, I’ve taught Excel and R, probabilities and statistics, and applied econometrics and machine learning—strengthening how I communicate complex ideas clearly to different audiences.
