Princeton University, 2014, major in Computer Science, Magna Cum Laude, GPA: 3.83, Shapiro Prize for Academic Excellence for 2011-2012, Tau Beta Pi, Engineering Honor Society; National Merit Scholar; 2300 composite score on the SAT; score of 800 on SAT Subject Tests in Mathematics Level 2, Physics, and U.S. History; National AP Scholar; score of 5 on AP exams in Microeconomics, U.S. Government and Politics, Calculus BC, Physics C, Psychology, U.S. History, English Language and Composition, and Human Geography.
Phil has loved both learning and performance for as long as he can remember. Throughout high school and college, he had a habit of stacking the most rigorous academic courses he could take with a heavy commitment to extracurricular theater, which taught him time management and self care.
At Princeton, Phil fell in love with computer science. He found the modular approach of breaking big programs down into smaller, self-contained pieces satisfying and was impressed by the endless opportunities to make new and interesting applications. He also took a wide variety of courses outside of computer science, including in the philosophy, psychology, English, and theater departments and found that the analytical skills he was developing while writing and debugging code carried over quite well to other subjects.
Phil applies this to tutoring, helping students break complex problems down into manageable chunks and find the underlying logic of how they fit together, so that they can apply what they've learned in new situations. He recognizes that these tests can be very stressful and believes that developing effective coping techniques is an essential part of preparation. The ideal outcome for Phil is that his students not only learn the material they are currently studying but gain the skills to effectively take on whatever challenges they encounter in the future.
When he is not tutoring, Phil can often be found auditioning for and acting in plays, reading in a cozy corner of Drama Book Shop, or picking up a new skill.