A philosophy grad student at UNM with a 34 ACT, Justin treats science the way he treats an argument in formal logic — isolating each claim, checking whether the evidence actually supports it, and identifying where the reasoning breaks down. That approach is especially useful when students need to evaluate hypotheses, interpret graphs, or explain why an experiment's results do or don't match a prediction. His 5.0 rating suggests the method lands.

Doctoral work in clinical psychology at Duke means Shelley designs and analyzes research studies regularly — controlling variables, interpreting statistical output, and defending conclusions in front of faculty who pick apart every methodological choice. That daily practice with the scientific method gives her a practical fluency she brings to teaching concepts like experimental design, data analysis, and hypothesis testing. Her 5.0 rating suggests she makes that rigor accessible rather than intimidating.

Between her masters in Environmental Health Sciences from Johns Hopkins and years of fieldwork in conservation across New Mexico, Rachel doesn't just teach science from a textbook — she's done it. She breaks down topics like ecosystems, the water cycle, and basic chemistry by grounding them in tangible examples from the natural world, making abstract processes feel observable and real.

Bryan's history and government degree from Dartmouth might not scream science, but his 34 ACT — which includes a dedicated Science section built around data interpretation and experimental reasoning — means he's practiced at reading graphs, evaluating competing hypotheses, and drawing conclusions from unfamiliar passages under time pressure. He treats science problems the way he'd treat a primary source: figure out what the evidence actually says before jumping to conclusions.

For students who need support with general science concepts — the scientific method, basic lab report structure, or connecting vocabulary to real-world examples — Laura's interdisciplinary background keeps sessions grounded and approachable. She leans on her strengths in reading comprehension to tackle dense textbook passages and break down what a question is actually asking.

Most of Daniela's tutoring centers on English, writing, and Spanish, so science isn't her primary lane — but her 1560 SAT required sharp data-interpretation and evidence-based reasoning skills that overlap heavily with how science questions ask students to read graphs, evaluate claims, and connect cause to effect. She's a strong fit for students who struggle more with the reading-comprehension side of science than the computation side.

A mathematician by training, Craig approaches science through its quantitative backbone — unit conversions, interpreting graphs, setting up equations from word problems. He's especially effective when students struggle with the math embedded in science courses, bridging the gap between conceptual understanding and the calculations that prove it.

A neuroscience major doesn't just memorize biology — Thomas spends his coursework tracing how cells signal, how drugs alter brain chemistry, and how controlled experiments isolate one variable from dozens. That daily practice with biological systems, chemistry, and experimental design means he can walk students through everything from photosynthesis to force diagrams with the fluency of someone who actually uses the scientific method, not just teaches it.

Katie's PhD research sits at the intersection of biology and psychology, studying how the brain processes visual information. That cross-disciplinary training makes her especially comfortable teaching scientific reasoning — forming hypotheses, interpreting data, and understanding how experiments are designed — across life sciences and behavioral science topics.

Katherine's science tutoring draws on the quantitative reasoning she uses every day as an economics PhD student — reading data tables, interpreting graphs, and distinguishing correlation from causation. She walks students through the logic of experimental design and scientific analysis, building the kind of structured thinking that transfers across biology, chemistry, and earth science.

Nursing school lives at the intersection of biology and chemistry, so Teresa brings real clinical context to science topics like cell structure, body systems, and the basics of how organisms function. She's especially strong at making microscopic processes — DNA replication, mitosis, enzyme activity — feel tangible by connecting them to things students can actually observe in their own bodies.

Years of teaching K-12 math built Erica's instinct for walking students through logical, step-by-step problem solving — the same skill that makes science click when students need to design experiments, interpret data, or trace cause and effect. Her Latin training also gives her an unusual edge: she can break down scientific terminology by its Greek and Latin roots, turning intimidating vocabulary into something students can decode on their own. Rated 5.0 by students.