I was a graduate student in mathematics at Caltech and a postdoc at Columbia University. I left academia to work in industry, but I enjoy teaching. I have written dozens of articles and a book on applying mathematics for general audiences. I'm working on a parent's guide to algebra and book on applying economics to improve environmentalism. I've tutored mathematics, statistics, economics, computer science, and programming since 2013 on other sites. My goal is to make the material make sen... [more]
I have taught several different levels of calculus. I have applied it in areas like economics and machine learning. Calculus might be the subject I have tutored the most in the last few years.
Combinatorics was one of my favorite subjects in college and I enjoyed taking three courses on it in the Budapest Semesters in Mathematics program. I wrote my senior thesis in combinatorial design theory. I took and was a TA for advanced combinatorics classes in graduate school. I have tutored students both for discrete math classes for computer science majors (covering things like Turing machines) and discrete mathematics classes which are alternatives to calculus (emphasizing things like proofs by induction and Euclid's algorithm).
I used linear algebra throughout the core graduate classes in mathematics (abstract algebra, analysis, and topology/geometry). I apply linear algebra professionally within Machine Learning. I have tutored students both in calculation-based and proof-based linear algebra courses.
I have tutored many students in finite mathematics over the past four years. I have also tutored subjects that use the ideas covered in finite mathematics courses. I can help whether your finite mathematics course focuses on logic and set theory, probability and statistics, or linear programming.