While science isn't Annelisa's primary discipline, her Yale studies explicitly bridged art and science, giving her practice translating complex scientific concepts into clear, accessible language. She's a good match for students who need to strengthen reading comprehension of scientific texts, interpret data in graphs and tables, or organize lab reports.

A philosophy education at Stanford and Brown — where Diana spent years constructing logical arguments, dissecting assumptions, and evaluating evidence — turns out to be surprisingly practical for teaching students how to think through the scientific method. She treats a hypothesis the way she'd treat a philosophical claim: what's the evidence, what are the variables, and does the conclusion actually follow from the data? Her 4.9 rating suggests that analytical rigor translates well beyond the philosophy classroom.

Two master's degrees in accountancy mean Steven has spent years buried in quantitative analysis — building spreadsheets, tracing cause-and-effect through financial systems, and interpreting data sets — all of which map onto the measurement, graphing, and data-interpretation skills that science coursework requires. He's especially effective at walking students through the math-heavy side of science, like unit conversions and calculating rates, since working with numbers precisely is what accountants do all day. Rated 4.8 by students.

A biology degree with a biochemistry minor from the University of Arizona means Lindsay can tackle science across disciplines — from cellular respiration and genetics to chemical bonding and ecological systems. She breaks down complex processes into clear, visual steps so students actually understand what's happening at the molecular level, not just what to circle on a worksheet. Rated 4.9 by students.

Designing houses requires a working command of physics, materials science, environmental systems, and applied math — so Aaron doesn't teach science as isolated facts but as interconnected principles that explain how the physical world behaves. He unpacks topics like energy transfer, forces, and properties of matter by tying them to tangible examples students can visualize. Rated 5.0 by students.

Jessica treats science as a hands-on subject even in a virtual setting, walking students through observations, predictions, and simple data collection so the scientific method feels like a real process rather than a worksheet formula. Her coursework in elementary education gives her a toolkit of age-appropriate ways to explain concepts like states of matter, ecosystems, and basic forces.

Having lived in Africa, Western Europe, and Russia, Spencer picked up a habit of observing how the natural world works differently across environments — from soil composition to weather patterns — which gives his science tutoring a tangible, real-world flavor that textbooks often lack. His coursework spanning math, physical science, and biology means he can connect the dots between disciplines when a topic like energy transfer or ecosystems requires it. Rated 4.9 by students.

A biochemistry degree from Arizona State means Charles has spent real time in labs understanding how biology, chemistry, and physics overlap — the kind of cross-disciplinary thinking that middle and high school science courses increasingly demand. He breaks down concepts like cellular respiration or stoichiometry by connecting them to tangible processes students can visualize, making abstract material click.

A Nutritional Sciences major with a Biochemistry minor, Atley lives in the sciences daily — from cellular biology and metabolic pathways to organic chemistry and lab technique. She tackles science concepts by asking "why does this happen?" before "what do I need to memorize," an approach that came from her own coursework and that she used when tutoring high school biology.

Because cognitive science sits at the intersection of biology, psychology, and data analysis, Rochelle brings real cross-disciplinary fluency to science tutoring. She's especially effective at teaching students how to read experimental setups, interpret variables, and connect observations back to underlying concepts rather than treating each chapter as isolated facts.