I graduated from Harvard in 2016 with a B.A. in Biomedical Engineering and from Stanford in 2019 with an M.S. in Robotics and Artificial Intelligence. Since finishing grad school I have spent more than five years working in industry as a roboticist, software engineer, and AI engineer. That work keeps me close to the math and physics I learned in school.
While in school, I tutored math and physics for about three years, mostly one-on-one with college students preparing for exams or grinding...
I graduated from Harvard in 2016 with a B.A. in Biomedical Engineering and from Stanford in 2019 with an M.S. in Robotics and Artificial Intelligence. Since finishing grad school I have spent more than five years working in industry as a roboticist, software engineer, and AI engineer. That work keeps me close to the math and physics I learned in school.
While in school, I tutored math and physics for about three years, mostly one-on-one with college students preparing for exams or grinding through homework. I also worked as a teaching assistant for two years in an applied math course, where I ran smaller weekly review sessions, laboratory sessions, graded problem sets, and held office hours. The TA role is where I learned the most about teaching itself. Watching a room of students hit the same wall on the same kind of problem shows you very quickly where textbook explanations fall short and what you have to do differently to get the idea across.
My approach is straightforward. I try to figure out what the student already knows, find the exact point where their understanding breaks down, and start working from there rather than going back to square one. For SAT, ACT, and GRE math prep, I focus on test patterns and pacing in addition to the underlying math, because those exams reward recognizing question types just as much as knowing the content. I would describe my style as compassionate, patient, and direct. I will not pretend a problem is easy when it is not, and I will not move on from a topic until the student can work through a similar problem on their own.