Coding in Python actually builds the same mental muscles science demands — isolating variables, testing predictions systematically, and figuring out why something didn't work the way you expected. Meagen's computer science coursework at Carleton gives her a hands-on feel for that debugging-style thi...

Game theory — which Carter taught to advanced middle schoolers at a Johns Hopkins CTY program in Hong Kong — is applied science at its core: building models, testing predictions, and revising strategies based on outcomes. That experience, combined with an economics degree from Brown that included ap...

Rishi's computer science and math training at Rice gives him a structured way of breaking down science problems — whether it's interpreting data tables, working through unit conversions, or applying formulas in physics and chemistry contexts. As a student-athlete on Rice's golf team, he also knows h...

A biochemistry degree from Texas A&M means Gabriel doesn't just know one branch of science — he's spent serious time with cellular biology, thermodynamics, chemical kinetics, and lab methodology, often learning the same concepts multiple times across different courses. That layered understanding let...

Teaching AP Physics, chemistry, and ACT Science has given John a broad view of how scientific reasoning actually works — forming hypotheses, interpreting graphs, and connecting equations to physical phenomena. He approaches each topic by grounding abstract formulas in real-world scenarios, which mak...

Studying biology with a concentration in health and human disease at Northwestern gives Mackenzie a working scientist's perspective on topics like cell biology, genetics, and experimental design. She's also comfortable with physics and chemistry through her IB-level teaching experience, so she can c...

Lisanne's PhD training in social anthropology at Harvard sharpened her ability to read research, interpret data, and think critically about evidence — skills that transfer directly to understanding the scientific method and analyzing experimental results. She approaches science as a way of asking qu...

Asha's actuarial science master's degree means she spent years working with probability models, statistical analysis, and data-driven problem solving — quantitative skills that plug directly into the measurement, graphing, and hypothesis-testing portions of science coursework. Her PhD training in po...

A career CFO doesn't survive without scientific thinking — Bill has spent decades building financial models that require the same skills science demands: isolating variables, testing assumptions against real data, and revising conclusions when the numbers don't add up. He's especially strong at walk...

Natalie's strengths are squarely in English and writing, not science — but her 1560 SAT required serious performance on evidence-based reasoning, graph interpretation, and data analysis questions, so she's not starting from scratch. Her Cornell education and 5.0 rating suggest she can break down den...