I am a mathematician and lecturer with a PhD in Mathematics from Purdue University, currently teaching at the University of Utah. My work has focused on helping students build strong problem-solving skills and develop confidence in mathematics.

I am now transitioning into data science and quantitative roles, where I can apply my background in mathematical modeling, probability, and analytical thinking to real-world problems. I am particularly interested in stochastic processes, causal inference, and decision-making under uncertainty.

I enjoy learning new ideas, building models, and finding clear ways to explain complex concepts. Recently, I have been focusing on developing projects that combine theory with practical implementation in Python, with an emphasis on understanding not just how models work, but why they work.