Hi there! I’m a creative mathematician, researcher, and educator with a passion for solving complex puzzles that have real-world impact. Currently pursuing a PhD in Mathematics at Northeastern University, I specialize in Topological Data Analysis. In my present work, I am exploring new approaches to machine learning which leverage local symmetries to model high-dimensional datasets from fields like medical imaging and computer graphics. I thrive on the challenge of reformulating a vague or ill-posed question in a precise mathematical framework, and I am especially drawn to applications related to physical motion, color, image, shape and sound. Beyond my research, I bring over a decade of experience as a passionate math educator and curriculum designer. I’ve developed and taught unique, interactive lessons for diverse audiences, connecting abstract mathematical concepts to modern real-world applications. While teaching at the Masters School in Dobbs Ferry, NY, I authored The Pre-Calculus Student’s Guide To The Universe, a textbook designed to motivate the study of calculus, probability and other advanced topics. My ability to translate complex ideas for diverse audiences has earned me several prestigious awards, including Northeastern’s College of Science Graduate Student Excellence Award in Teaching.I’m driven by a love for interdisciplinary collaboration and am eager to apply my mathematical expertise to impactful problems at the intersection of math, data, and technology. Let’s connect to explore opportunities in research, education, or innovation!