Frances's psychology background at Duke involved statistical modeling and data analysis — work that builds directly on the calculus concepts of rates of change and area under a curve. She teaches early calculus by connecting derivatives and integrals to the kind of quantitative reasoning she used in research, making notation feel purposeful rather than arbitrary. Rated 4.6 by students.

Biomedical engineering at Duke means Eric lives in calculus daily — from modeling drug diffusion rates to analyzing physiological signals, derivatives and integrals are tools he actually uses. He breaks down concepts like the chain rule, related rates, and integration techniques by connecting them to real problems where the math matters.

Environmental studies involves a surprising amount of calculus — modeling pollutant dispersion rates, analyzing resource depletion curves, and optimizing conservation strategies all require fluency with derivatives and integrals. Simon's background in that field, combined with the quantitative reasoning behind his 1590 SAT, means he can ground abstract calculus concepts in systems where rates of change describe something tangible. Rated 5.0 by students.

Engineering students don't just take calculus — they live in it, and Natalie's civil engineering track at Duke means she's applying derivatives and integrals to real structural problems like load distribution, fluid flow, and stress analysis. That daily fluency with the material lets her teach concepts like related rates or integration techniques as tools with obvious purpose, not abstract exercises. Her 35 ACT composite confirms the quantitative chops behind that engineering lens.

Doing biomedical research at Duke Medical Center means Callie uses calculus daily — modeling tumor growth rates, analyzing change over time, interpreting area under curves in experimental data. She teaches derivatives and integrals by grounding them in what they actually measure, which makes the chain rule and integration techniques feel purposeful rather than mechanical.

Neuroscience coursework doesn't just touch calculus — it lives in it, from modeling action potential propagation to quantifying synaptic transmission rates, and Julie's BS in the field means she's solved these problems firsthand rather than in the abstract. Her 1480 SAT confirms sharp quantitative chops, and she teaches derivatives and integrals by connecting each concept to the real systems where rates of change actually matter. Rated 5.0 by students.

Studying medical sociology at Duke with plans for med school means Zhong is heading straight into territory where calculus matters — epidemiological modeling, dosage curves, and the quantitative reasoning that underpins public health research. A 1590 SAT confirms he has serious mathematical chops, and his approach to calculus leans on connecting the mechanics of derivatives and integration to the real-world rate problems he'll soon encounter in clinical science.

Years of applying calculus in biochemistry and medical coursework at Duke gave Tammy a concrete sense of what derivatives and integrals actually mean — rate of drug absorption, area under a concentration curve, modeling growth. She teaches the chain rule, integration techniques, and series convergence by tying each back to problems that have real stakes. Her 5.0 rating speaks to how well that approach lands.

Studying economics at Duke means Devanshi uses calculus constantly — optimization problems, marginal analysis, and modeling how variables shift in response to each other are baked into her coursework. A 35 ACT composite backs up that quantitative fluency, and she teaches derivatives and integrals by connecting the mechanics to the economic intuition behind them, so the rules feel purposeful rather than arbitrary.

Having taught math before pursuing a Master's in Data Science at Duke, Eric has used calculus on both sides — first breaking down derivatives and integrals for students, then applying them daily in gradient descent, optimization algorithms, and statistical modeling. That dual perspective means he can explain not just how to take a derivative but exactly where that skill lands in real-world data problems. Rated 5.0 by students.

In respiratory therapy and physician assistant training, calculus shows up in unexpected places — ventilator flow-volume curves are essentially integrals, and drug clearance rates depend on derivatives. Emmanuel draws on that clinical math fluency to teach concepts like related rates and accumulation functions in ways that ground the abstraction in something tangible. He holds a 5.0 rating from students.

History and religious studies at Duke and Yale aren't a typical calculus background, but Justin's economics minor meant working through the quantitative modeling side — marginal analysis, optimization problems, and the derivative logic that underpins economic reasoning. He breaks down early calculus concepts by connecting them to that analytical framework, making the jump from abstract notation to structured problem-solving feel less intimidating. Rated 5.0 by students.