Sami's computer science coursework at Duke gave him a strong grounding in scientific reasoning — forming hypotheses, interpreting data, and understanding experimental design. He approaches science tutoring the same way, teaching students to read graphs carefully and connect observations to underlying principles rather than treating each topic as an isolated set of facts.

A double major in International Studies and French might not scream science, but Xaviera's self-study discipline — the same approach that landed her in the top 1% of LSAT takers — means she knows how to break down unfamiliar material into learnable systems, which is exactly what students need when facing new scientific terminology and processes. She treats science concepts the way she'd treat a legal argument: identify the claim, trace the evidence, and make sure every step in the reasoning actually holds up.

Physics was Anthony's first academic love, and he earned his BS in it from Yale before pivoting to economics. He teaches science by emphasizing how to translate a word problem into a diagram and then into equations — the skill that separates students who understand from students who just memorize formulas.

Studying molecular and developmental biology at Yale while running original stem cell research gives Maxwell a depth in science that stretches well beyond any single textbook chapter. Whether a student is struggling with cell organelle functions, the basics of genetics, or how to interpret a data table, he explains the underlying logic so the details stick rather than blur together.

A pre-med track at UCLA followed by graduate work at Yale's School of Public Health means Jon has spent years immersed in biology, chemistry, and research design — the core of what science courses actually test. He's particularly strong at walking students through how to read experimental setups and connect results back to underlying mechanisms, whether that's cellular biology or basic physics. He also teaches across MCAT prep, which keeps his scientific reasoning sharp and current.

Brittany's Yale history training — heavy on evaluating primary sources, weighing competing evidence, and constructing arguments from incomplete records — mirrors the analytical process science demands when students need to interpret data, assess experimental validity, or explain unexpected results. She's especially useful for the reading-intensive side of science: parsing dense textbook passages, extracting meaning from diagrams, and translating observations into clear written explanations. Rated 4.9 by students.

Having studied both math and humanities at Yale — where paleography demands the same meticulous observation and pattern recognition as any lab discipline — James brings an unusually precise eye to scientific material, especially when students need to read data carefully or trace cause-and-effect through unfamiliar systems. His 1590 SAT confirms he can handle the quantitative and reasoning demands of science coursework, and he's particularly effective at connecting the math embedded in science problems (rates, proportions, graphing) to concepts students already understand.

A computer science major at Yale, Patrycja spends her coursework immersed in the same logical reasoning and systematic problem-solving that science demands — forming hypotheses, testing them against data, and revising when results don't match predictions. She's especially strong on the quantitative side, helping students work through unit conversions, graph analysis, and the kind of step-by-step experimental design that mirrors how she debugs code. Her 34 ACT confirms she can handle science content well beyond the introductory level.

Ethan's environmental science degree required deep coursework across biology, chemistry, and data analysis — the trifecta that most science classes draw from. Whether a student is struggling with stoichiometry, cell transport, or interpreting experimental data, he connects each concept back to something tangible and observable.

Studying Neuroscience at Yale means Stephanie lives in the sciences daily — from cellular biology and organic chemistry to experimental design and data interpretation. She brings that current, hands-on knowledge to younger students tackling topics like the scientific method, ecosystems, or basic chemistry, making abstract concepts tangible with real examples from her coursework.

Tessa's approach to science leans on the same analytical thinking that drives her Yale math coursework: she teaches students to understand why a formula works before applying it. Whether the topic is stoichiometry, kinematics, or cell biology, she connects each concept back to the core principles so students can reason through unfamiliar problems instead of relying on memorized steps.

Niko isn't a lab scientist, but his analytical training as a PhD researcher translates well to general science tutoring — reading data, understanding experimental design, and connecting vocabulary to underlying concepts. He's especially effective for students who struggle with the reading-heavy side of science courses: interpreting textbook passages, understanding what a question is really asking, and writing clear lab reports. His approach treats science literacy as a skill that can be taught, not a talent you either have or don't.