Public policy analysis at the University of Chicago is surprisingly calculus-heavy — modeling rates of change in population data, interpreting area under cost curves, quantifying how small policy shifts produce outsized effects — which means Noel learned AB-level concepts by actually using them to argue about real decisions. That policy lens makes him especially effective at teaching students how to set up and interpret definite integrals and optimization problems, where understanding what the math means in context is the difference between a formulaic answer and a convincing free-response solution. His 1550 SAT and 4.9 rating back up the analytical precision he brings to every problem.

Biomedical engineering — both at BU and then at the master's level at Tufts — means Anthony didn't just take calculus; he leaned on it daily for modeling biological systems, from drug diffusion rates to biomechanical stress analysis. That background makes him especially effective at teaching the application-heavy parts of the AB curriculum like related rates and accumulation problems, where setting up the calculus matters more than cranking through algebra. Rated 4.9 by students.

Postdoctoral research at Harvard Medical School means Patrick builds mathematical models of cellular systems daily — the kind of work where setting up a differential equation correctly determines whether an experiment makes sense. That modeling instinct translates well to AB topics like accumulation functions and the Fundamental Theorem, where understanding the relationship between a rate and its total is everything. Rated 5.0 by students.

Working in a graduate-level biochemistry lab taught John to think about rates of change before he ever framed them as derivatives — tracking how fast aldehyde concentrations drop during a reduction reaction is, at its core, the same reasoning behind the AB exam's toughest related rates and accumulation problems. His BSMD training at Boston University keeps that scientific intuition sharp, and he channels it into teaching students how to set up free-response questions from the scenario rather than reverse-engineering from a formula. His 35 ACT and 5.0 rating back up the precision he brings to every problem.

Behavioral neuroscience at Northeastern exposes Allie to calculus in ways most AP students don't expect — modeling how neurotransmitter concentrations change over time is really just applied derivatives and integrals. She leans into that background when teaching limits and the chain rule, grounding each technique in something tangible so the AB exam's conceptual questions feel less like guesswork. Rated 5.0 by students.

After completing secondary school in South Africa, I did a PG year at a high school in Connecticut. During my year in Connecticut, I took Honors and AP Chemistry, Honors and AP Physics, and Honors Calculus; I also received the CollegeBoard AP Scholar with Honors Award. I have experience tutoring the New SAT. I understand the material and subtle nuances of the test. I have developed test-taking strategies that help a great deal when taking the SAT.

The jump from memorizing derivative rules to applying them — related rates, optimization, interpreting the meaning of an integral in context — is where most AP Calculus AB students stall. Kathrine is completing her master's in Mathematics Secondary Education at Boston University, which means she's trained specifically in breaking down these conceptual leaps for high school students.

Cloud computing runs on algorithms built from the same calculus concepts tested on the AB exam — Sebastian's CS degree and industry work mean he thinks about rates of change and optimization as everyday tools, not textbook abstractions. He's particularly effective at teaching limits and the formal definition of the derivative, where his programming background makes the logic of epsilon-delta arguments feel like debugging code: systematic, step-by-step, and satisfying once it clicks. Rated 5.0 by students.

Working as an electronics tester and designer at Draper Labs meant Zachary was constantly using derivatives to characterize circuit behavior and integrals to analyze signal responses — skills that map directly onto the AB exam's emphasis on interpreting rates of change and accumulation in applied contexts. His physics degree from Northeastern reinforces that hands-on instinct, especially when teaching students to set up related rates or optimization problems where the physical picture drives the math. Rated 4.7 by students.

I am an interdisciplinary educator with an Ed.M. from the Harvard Graduate School of Education and a B.A. from Dartmouth College. My background is primarily in integrated arts learning and museum education and I specialize in visual arts, history and art history, and object-based learning. In all subjects, I take a creative, inquiry-based and learner-centered approach, designing opportunities for each unique individual to meet their learning goals.

I'm not tutoring or buried in my textbooks, you will either find me rock climbing at the Triangle Rock Club, playing Ultimate Frisbee, working on my car, or enjoying the great outdoors (beaches, mountains, forests--you name it, I love it). On rainy weekends I enjoy tinkering with computers and old electronics, playing Pokemon, or picking at my guitar.

I am a recent graduate from a masters program in biostatistics at Columbia University. I received my Bachelor of Arts in biological sciences, with a focus in neurobiology at Northwestern University. In August, I will be starting a doctoral program in biostatistics at NYU. I was a teaching assistant at Columbia University in my department and also have tutored graduate students and undergraduates privately as well. My primary areas of tutoring are math and statistics coursework in addition to math sections on standardized tests such as the GRE and GMAT. I am very passionate about helping students feel more confident and excited about math. In my spare time, I enjoy running, playing piano, and spending time with friends and family.