Alex is a Brooklyn lifer with a Bachelor’s in Mathematics from NYU who is currently working on a PhD in Data Science. He has been tutoring since high school, and during his college career was tutoring students in all levels of undergraduate math. He is currently an instructor at NYU, and has taught Precalculus, Calculus, as well as Probability and Statistics courses. He also has written exams for nearly every undergraduate course while working at NYU’s engineering school, Tandon.

With his experience at Tandon, and research in the field of Machine Learning applied to sports, Alex is no stranger to how to use math in applied fields. He has also tutored students in all manner of high school level topics as well as the SAT, ACT, and GRE exams.

Alex believes that solidifying the fundamentals of a topic is the best way to improve. He aims to guide students to use this knowledge to increase confidence and help manage math anxiety. He also believes that every student learns differently, so having a variety of teaching styles to adapt to the needs of the student is important.