I recently graduated from the Johns Hopkins University with a B.S. in Biomedical Engineering. My second major was Computer Science and my minor was Applied Mathematics and Statistics. Throughout my education, I have often felt that instructors explained the concepts at too high a level because they already understood them well. This can lead students to think they are not talented at a subject when in reality they just need more in-depth explanations. I believe that, given this support, all students can succeed, even in subjects that they may initially struggle in. In my classes, I would naturally explain practice questions to my peers because I learned by teaching. One of my professors noticed this and invited me to become a teaching assistant for Linear Algebra and Differential Equations, which I have taught on and off for the past four years and I have also taught Probability and Statistics once. Prior to college, I tutored students in calculus and Spanish. Currently, I tutor primarily in STEM subjects and Spanish. In particular, math and computer programming are some of my favorite subjects to tutor because they were the subjects that I was most challenged in and I know the work it takes to gain proficiency in this kind of material. My approach centers on breaking down big concepts into smaller, related concepts. I believe that each student should not simply memorize a certain result but rather understand how that result comes about. To that end, I ensure that students not only get the correct answer, but fully understand the reasoning needed to derive that answer. In the future, I hope to pursue a career as a physician-scientist. This fall I will be pursuing a Fulbright grant at the Max Planck Institute for Intelligent Systems to research sign language recognition using haptics and machine learning. In my spare time, I crochet, knit, play video games, read, watch birds, and try to improve my fitness with high-intensity interval training.