Growing up in Northern Virginia, Arvind developed an early belief that things always make sense if you dig deep enough. This stubbornness served him well, leading him to a spot on the US Physics Team and into biophysics research in high school. Leaving home for MIT and its wealth of resources, Arvind studied every scrap of math and science he could find. He eventually fell in love with systems biology, creating and developing a design for sugar-powered batteries during his last three years in school. Since then, he has gone on to work at Amazon on Elastic File Search, at D.E. Shaw Research on atom-scale models for simulating biomolecules, and most recently at BenevolentAI on models for predicting how different drugs affect network biology.
During high school, Arvind taught calculus, computer science, and physics to local students. Since then, he has worked with students on more advanced subfields within math and the sciences. Arvind has also taught for the MIT Educational Studies Program and has served as a teaching assistant for classes on algorithms and machine learning. At Cambridge Coaching, he enjoys working with students of all ages in math and science subjects.
In his free time, Arvind enjoys strategic games, badminton and biking, reading everything under the sun, and watching way too much TV.