A fourth-year medical student at Albert Einstein College of Medicine, Michael tackles science the way it actually works — connecting concepts across biology, chemistry, and physiology instead of treating them as separate silos. His biology degree and MCAT teaching experience at Kaplan mean he can break down everything from cellular respiration to acid-base equilibria in terms that actually click.

Having debugged enough physics simulations and coded enough data-analysis scripts during his Penn State CS program, Nicholas picked up a working fluency in scientific reasoning that most computer science majors don't bother developing — understanding how variables interact, why controlled experiments matter, and how to read results critically. He teaches science the way he'd troubleshoot a program: isolate what's happening, test one change at a time, and figure out exactly where the logic breaks down. Rated 5.0 by students.

For younger students, science should feel like discovery — asking why leaves change color or how magnets pull from a distance. Gabriela connects these everyday curiosities to the actual concepts behind them, whether that's life cycles, states of matter, or basic earth science. She makes observation and questioning feel natural rather than like a worksheet exercise.

Abigail's Columbia master's program in International Affairs required heavy engagement with research methodology — analyzing datasets on global health, evaluating environmental policy studies, and interpreting statistical evidence across disciplines. That training translates well when she walks students through reading scientific graphs, understanding experimental design, or explaining how to support a conclusion with evidence rather than guesswork.

Growing up steeped in math and ELA before pursuing graduate work in Africana Studies, Devon brings an interdisciplinary lens to science — particularly when it comes to reading dense informational texts, pulling key details from charts, and organizing written explanations of how things work. That cross-training in quantitative reasoning and close reading covers exactly the two skills where most students hit a wall in science class.

Biology is where Victoria lives academically — her Cornell degree in Biology and Society plus her current MPH work mean she can unpack everything from cell biology and genetics to human physiology and ecology with real depth. She connects scientific concepts to health and nutrition examples that make processes like cellular respiration or enzyme kinetics click for students who struggle with purely textbook explanations.

Dan's math background — through discrete math, calculus, and quantitative reasoning — means he can handle the computational side of science that often trips students up: dimensional analysis, interpreting rate graphs, and working through stoichiometry or physics equations without losing track of units. His comparative literature training also sharpened his ability to pull meaning from dense, unfamiliar texts, which turns out to be exactly what's needed when students face a chapter packed with scientific terminology and diagram-heavy explanations.

Ten years of teaching in NYC classrooms — including self-contained and Collaborative Team Teaching settings — means Ivan has seen firsthand how students with different learning profiles struggle to process science material, from decoding diagrams to organizing lab observations into coherent explanations. His special education training gives him a toolkit for scaffolding dense content so that vocabulary-heavy units in life science or earth science don't become walls. Rated 4.8 by students.

Between her neuroscience undergraduate work and her medical school training at Albert Einstein College of Medicine, Taylor has spent years immersed in biology, chemistry, and human physiology at a level most science tutors haven't reached. She unpacks topics like cell structure, ecosystems, and the scientific method by tying them back to how the human body actually works — making abstract concepts tangible.

Electrical engineering at Carnegie Mellon means Chimdi lives in the overlap of physics, math, and applied problem-solving — building circuits, analyzing waveforms, and testing real systems against theoretical predictions every week. That hands-on lab experience makes him especially effective at teaching students how to set up controlled experiments, read data from graphs, and connect scientific concepts to measurable outcomes. Rated 4.8 by students.

A Physiological Science degree from UCLA means Samantha spent four years connecting chemistry, biology, and physics to understand how living systems work. She brings that same integrative thinking to science tutoring, whether a student is learning the water cycle, balancing chemical equations, or tracing energy through a food web.

Biology, chemistry, and physics all sit in Laura's wheelhouse — her dual biology and anthropology degree from Fordham means she studied living systems from the molecular level up through human populations. Now pursuing a Master's in Public Health at Columbia with a focus on environmental health sciences, she teaches science by grounding abstract concepts in real-world applications, like explaining chemical exposure pathways to make toxicology and cellular biology tangible. Rated 5.0 by students.

Neuroscience sits at the intersection of biology, chemistry, and psychology, which means Zarrin spent her undergraduate years connecting ideas across scientific disciplines rather than treating them as separate subjects. She unpacks concepts like cellular respiration, chemical bonding, or experimental design by tying them to real phenomena students can visualize. That cross-disciplinary instinct is especially useful for younger students still figuring out what "thinking like a scientist" actually means.

Psychology sits at the intersection of biology and social science, which gives June a practical bridge into topics like the scientific method, experimental design, and data interpretation. She walks students through how to read graphs, identify variables, and understand cause-and-effect reasoning — core skills that transfer across every science class.

Between her biology degree from Vassar and her Master of Public Health at Yale, Deanna spent years translating scientific research into real-world health applications. She tackles science topics — from cell biology and ecology to experimental design — by teaching students to read data critically and understand why a process works, not just what the textbook says happens.

Charles teaches chemistry at the high school and college level, so when he tackles broader science material, he brings real comfort with the quantitative side — balancing equations, working through unit conversions, and interpreting lab data. His 4.9 rating across 38 subjects suggests he's unusually good at adjusting his explanations to match what a particular student actually needs to hear.

As a teaching assistant at a performing arts high school, Joshua regularly supports students through the kind of cross-disciplinary thinking science demands — reading dense nonfiction passages, interpreting visual data, and building written explanations that actually demonstrate understanding. His English training makes him especially effective at the parts of science that aren't about formulas: decoding textbook language, organizing lab write-ups, and teaching students to articulate the reasoning behind their answers rather than just circling one.

Tackling science means learning to think in cause-and-effect chains — why increasing temperature speeds up a reaction, or how force and acceleration relate on a ramp. Miguel's background spans both physics and broader coursework, so he can walk students through lab reports, unit conversions, and the conceptual reasoning that multiple-choice questions are really testing.

A year spent studying ancient languages in Israel might not scream 'science tutor,' but Nathaniel's Classical Studies training revolves around exactly the kind of systematic analysis science demands — gathering evidence, testing interpretations, and building arguments that hold up to scrutiny. His 1530 SAT confirms he handles quantitative and data-driven reasoning with ease, and his knack for breaking down Greek and Latin roots means scientific terminology stops being a foreign language for his students.

Philosophy majors spend their days doing something surprisingly close to science: constructing hypotheses, testing them against evidence, and tearing apart weak arguments — and Ava brings that same rigor to teaching students how to work through experimental design and data interpretation. Her Latin background also gives her a practical edge when students hit unfamiliar scientific terminology, since she can break terms like 'photosynthesis' or 'endothermic' into their Greek and Latin roots on the spot. Rated 4.9 by students.

Gregory's background spans physics and astronomy, and he approaches science by teaching students how to read experiments the way researchers do — identifying variables, interpreting data tables, and connecting observations to underlying principles. His international economics training reinforces the quantitative reasoning that runs through every science discipline.

Physics is where Jonathan's math expertise becomes especially practical — he shows students how the equations they've learned in algebra and calculus actually describe real forces, motion, and energy. Instead of treating formulas as things to memorize, he walks through the reasoning that connects a free-body diagram to the math that solves it.

Cole's finance coursework at Fordham Gabelli — including business statistics and calculus — means he's comfortable with the quantitative backbone of science: reading graphs, calculating rates, and interpreting data sets to draw defensible conclusions. He's especially handy for students who freeze up when science problems involve math, since he can walk through unit conversions and proportional reasoning without skipping steps. Rated 4.7 by students.

A math degree builds the exact quantitative backbone that science leans on — reading graphs, converting units, calculating rates, and spotting patterns in data — and Jonathan has taught those skills across every level from elementary arithmetic to AP Calculus BC. He's especially useful for students who hit a wall in science not because the concepts are hard, but because the math underneath feels shaky. Rated 5.0 by students.

A physicist by training, Muhammed treats science as a way of asking questions and designing methods to answer them — not as a collection of facts to memorize. He teaches students to read graphs, interpret experimental data, and connect cause-and-effect reasoning across topics in biology, chemistry, and physical science. Rated 4.6 by students, he's comfortable adapting from middle school life science to college-level physics.

Vicquaja's AP Biology background and quantitative training make her a solid fit for students who need science support, especially when the material turns data-heavy — interpreting graphs, understanding experimental design, or connecting biological processes to mathematical models. Her Psychology minor also gives her insight into topics that bridge life sciences and social sciences.