About Me

Hi, my name is Noah, and I'm a senior at Rutgers University, double majoring in Mathematics and Computer Science. As a passionate learner, I serve as a learning assistant for Calculus I and II, where I help fellow students grasp complex mathematical concepts.

Currently, I am diving deep into financial engineering and stochastic calculus, studying these subjects independently. My upcoming research will focus on backwards stochastic differential equations, reflecting my keen interest in optimizing with randomness. I am eager to explore more about quantitative trading and portfolio management as I advance in my career.

I aspire to work as a quantitative trader/researcher, leveraging my skills in mathematics and computer science to solve problems. I previously interned at Corebridge on the credit section of the enterprise risk management team, where I implemented machine learning kernels to create distributions of our $200B portfolio, streamlined much of our data analysis using NumPy and pandas in Python, and performed financial modeling of our statutory capital. Additionally, I have worked on projects involving natural language processing and AI APIs.

In my free time, I enjoy reading, playing intramural basketball, and delving into my research interests. I also love playing games like poker, Catan, and various logic games. Competing in math and programming competitions is a significant part of my life; I proudly placed 2nd in the Garden State Math Competition and am rated in the top 2% on LeetCode.