Award-Winning Science Tutors
serving Manhattan, NY

Noah earned a 34 ACT, which included the Science section's rapid-fire data interpretation — reading conflicting viewpoints, extracting trends from dense graphs, and evaluating experimental designs under time pressure. His Penn education in political science also trained him to weigh competing evidence and build structured arguments, a habit he carries into teaching students how to reason through scientific claims rather than just recall definitions.

A finance degree builds fluency in exactly the kind of thinking science demands — reading charts, spotting trends in data, and distinguishing what the numbers actually prove from what they merely suggest. Sandy applies that analytical lens to topics like experimental design and data interpretation, teaching students to evaluate evidence the way an analyst would evaluate a balance sheet. Rated 4.9 by students.

Growing up in Germany before moving to the U.S. at eleven, Philipp learned to navigate two entirely different school systems — including two different approaches to teaching scientific concepts, measurement systems, and lab conventions. That cross-cultural perspective makes him especially good at explaining science vocabulary and processes from multiple angles until something clicks. His 1590 SAT confirms he handles data interpretation and evidence-based reasoning at a very high level.

Theo's ACT Science section required exactly the kind of rapid data extraction and graph interpretation that general science coursework builds toward — reading tables quickly, spotting trends, and distinguishing a supported conclusion from a tempting one. His history training at Columbia also means he's practiced at weighing evidence and constructing arguments, which translates surprisingly well to writing lab reports and explaining experimental outcomes. Rated 5.0 by students.

Getting a young learner excited about the scientific method starts with the right questions — why does ice melt faster in some liquids, or what happens to a plant without sunlight? Emily designs hands-on explorations around life science, earth science, and physical science concepts, then teaches kids how to observe, record, and explain what they find.

Mimi's Masters in Education from Harvard focused on inquiry-based and object-based learning — an approach that turns science into something students can observe, question, and test rather than just read about in a textbook. Her integrated arts background means she often teaches concepts like ecosystems or states of matter through hands-on exploration and visual models, which tends to stick with students who struggle to learn from lectures alone. She's especially strong with younger and middle school learners building their first real science habits.

A neurobiology-focused biology degree from Northwestern means Nina didn't just take introductory science — she studied cellular mechanisms, genetics, and brain physiology in depth. She connects textbook concepts like mitosis or enzyme kinetics to real research contexts, which tends to make the material click faster than rote memorization. Rated 5.0 by students.

Reid treats science as a way of thinking rather than a collection of facts to memorize. He walks students through how to read data tables, design controlled experiments, and connect observations to underlying principles — the same analytical habits that show up across biology, chemistry, and earth science courses.

Sociology research at Harvard meant Solange spent years designing surveys, analyzing datasets, and defending conclusions in front of professors who demanded airtight reasoning — all of which is applied scientific method, even if the subject matter was social rather than physical. She's especially effective at teaching students to distinguish correlation from causation and to read charts and graphs with a critical eye, since those skills were daily requirements in her coursework. Her 34 ACT confirms she can handle the quantitative side of science just as comfortably as the conceptual.

Running a tutoring program at a charter middle school meant Liz wasn't just teaching science content — she was figuring out how to make vocabulary-heavy units on cells, ecosystems, and states of matter land for students with dyslexia, ADHD, and other learning differences. Her special education master's gave her a toolkit of concrete strategies for breaking down dense nonfiction text and multi-step processes, which is where most science students actually get stuck. She holds a 4.7 rating across her subjects.

A PhD in Computational Mathematics from the University of Chicago means Justin doesn't just know science — he understands the quantitative reasoning that ties physics, chemistry, and earth science together. He breaks down concepts like energy conservation, wave behavior, and data analysis by connecting them to real-world phenomena, from climate modeling to how lenses form images. Rated 5.0 by students.

Applied math and computer science at Johns Hopkins means Sabira spends her days quantifying patterns and testing models — the same core loop students encounter in science when they're asked to measure, predict, and explain. She's particularly strong on the computational side of science: reading data tables, graphing relationships, and working through the math embedded in physics or chemistry problems. Holds a 5.0 rating.

A chemistry major headed to Columbia Medical School, James treats science tutoring as an exercise in building intuition — understanding why a reaction proceeds a certain way or how energy flows through a biological system, not just memorizing diagrams. He's especially sharp at bridging the gap between introductory courses and the more rigorous thinking that AP or IB-level science demands.

Daniel's sociology degree means he spent years learning to design surveys, analyze demographic data, and apply the scientific method to real human behavior — skills that translate naturally when teaching students how to form hypotheses, control variables, and interpret results in a general science context. He's especially comfortable helping students who freeze up at graphs and data tables, since reading quantitative evidence was a daily requirement in his coursework. Holds a 5.0 rating.

Chemistry is Sung's home discipline, which means he teaches science the way a working scientist thinks about it: grounding every concept in evidence, units, and careful reasoning. Whether a student is balancing equations, interpreting lab data, or connecting molecular structure to physical properties, Sung ties abstract ideas back to observable, concrete examples.

Speech-language pathology graduate training at Columbia is surprisingly science-heavy — anatomy, neuroscience, research design — and Sherry brings that clinical lens to teaching students how biological systems work and how experiments should be structured. Her UChicago psychology and linguistics background also means she's comfortable with everything from statistical reasoning to breaking apart dense scientific terminology using morphological roots. Rated 5.0 by students.

Jennifer's ELA training at NYU's accelerated MAT program might seem distant from science, but teaching students to read dense nonfiction closely — pulling claims from evidence, evaluating an author's reasoning, spotting unsupported conclusions — is exactly what science coursework demands when students face lab reports, textbook passages, and data-heavy questions. She's especially useful for students who understand the concepts but struggle to articulate their thinking in written explanations or short-answer responses.

Scoring in the 99th percentile on the MCAT required Josef to master science across disciplines — biology, chemistry, physics, and biochemistry — and he brings that integrated perspective to every session. Rather than treating each science topic as isolated, he connects ideas like energy transfer in physics to metabolic pathways in biology, showing students how the same principles reappear across fields.

Having earned a 1560 SAT — which requires sharp data interpretation and evidence-based reasoning across both sections — Sash can walk students through the analytical side of science that often trips them up: reading graphs, evaluating experimental setups, and explaining results in precise language. Her comparative literature training at Princeton also means she's unusually good at helping students decode dense scientific texts and write clear, well-structured lab reports.

Journalism is fundamentally about investigation — gathering evidence, verifying claims, and explaining complex topics to a general audience — and Meghan applies that same discipline when walking students through scientific concepts like experimental design and data interpretation. Her Northwestern training emphasized rigorous sourcing and logical structure, which translates naturally to teaching students how to read a graph, evaluate a hypothesis, or write up lab results that actually say something clear. Rated 5.0 by students.

A statistics and machine learning certificate at Princeton means Julie spends her coursework building models, testing hypotheses against real data, and evaluating whether results are statistically meaningful — all of which is applied scientific reasoning. She brings that quantitative rigor to science tutoring, especially when students need to move from memorizing definitions to actually interpreting experiments, reading graphs, and explaining what their data means. Her 4.9 rating suggests the approach lands.

Electrical engineering at Stanford required Jai to live inside physics and applied science — circuit analysis, electromagnetic theory, thermodynamics, and the math that ties them together. He approaches science tutoring by anchoring each concept to a physical intuition or real-world example before introducing the equations. Students studying for AP Physics, chemistry, or general science courses get someone who genuinely thinks in scientific terms daily.

A Yale education heavy on critical reading and analytical writing gave Maya the tools to tackle science from the comprehension side — parsing dense passages, extracting key claims from lab descriptions, and explaining results in clear, organized language. She's particularly useful for students who understand the concepts but freeze when asked to write up an experiment or interpret what a data table is actually saying. Holds a 5.0 rating.

Studying Mechanical and Aerospace Engineering at Princeton means Matthew lives in physics, thermodynamics, and applied chemistry daily — subjects that map directly onto high school science curricula. He breaks down concepts like force diagrams, energy conservation, and kinematics using step-by-step problem solving, then builds complexity so students internalize the reasoning rather than just the formulas.

Three separate science degrees mean Zosia doesn't just know chemistry or biology in isolation — she understands how energy transfer in physics explains chemical bonding, which in turn drives cellular processes. That cross-disciplinary perspective is exactly what makes her effective at teaching foundational science concepts like the scientific method, experimental design, and data interpretation. She builds each session around the specific science course and topics a student is wrestling with.

A year as a course assistant in Harvard's math department gave Richard practice breaking down quantitative concepts for undergrads — the same skill that makes him effective at teaching the measurement, graphing, and data-analysis components of science coursework. His 36 ACT composite, which includes a perfect Science section score, confirms he can handle the evidence-based reasoning and experimental interpretation the subject demands.

Vivian's history degree trains exactly the kind of evidence evaluation that science coursework demands — weighing sources, identifying cause and effect, and building arguments from data rather than gut feeling. She applies that analytical framework to teaching students how to interpret experimental results, trace variables through a procedure, and explain their reasoning clearly in lab write-ups. Her 4.9 rating suggests the approach lands.

Biology, chemistry, physics, and physiology all live under one roof in Garrett's teaching repertoire, which means he can trace a concept like energy transfer from a physics equation through a chemical reaction and into a biological system. That cross-disciplinary perspective is exactly what students need when science courses start connecting dots between fields. His biology degree anchors the content knowledge, while his broad coursework keeps explanations flexible.

Rachel's history training — sifting through conflicting sources, weighing evidence, and building arguments from incomplete information — mirrors the critical thinking science coursework actually tests, especially when students need to evaluate hypotheses or explain what an experiment's results do and don't prove. Her 34 ACT confirms she can handle the data-interpretation and quantitative reasoning that show up across science topics. She's a strong fit for students who need someone to walk them through reading charts, understanding variables, and writing clear explanations of their observations.

While science isn't her core subject area, Michelle's strength is in reading comprehension and analytical thinking — skills that matter enormously when students are interpreting lab data, understanding textbook passages, or answering science questions on standardized tests. Her study-skills toolkit and structured approach to breaking down unfamiliar material translate well to elementary and middle school science concepts.

As a pre-med student at Duke, Camille spent semesters deep in chemistry coursework — balancing equations, working through stoichiometry, and connecting molecular structure to reactivity. She translates that firsthand experience into science tutoring that emphasizes understanding the "why" behind formulas and processes.

Finance majors spend more time on data than most people realize — regression analysis, forecasting models, interpreting charts — and Vansh brings that same quantitative lens to science topics like measurement, graphing relationships, and drawing conclusions from experimental data. He's especially good at walking students through the logic of hypothesis testing, since his coursework treated every business decision as a claim that needed evidence behind it. Rated 4.8 by students.

While science isn't MaryAnn's primary specialty, her analytical training in psychology and her strong reading skills make her well-suited for the parts of science coursework students often struggle with most: interpreting data tables, understanding experimental design, and writing lab reports. She brings a structured, methodical approach to breaking down scientific texts and vocabulary.

A Stanford science degree and ongoing medical training give Mica unusual depth across biology, chemistry, and human physiology. She unpacks scientific concepts by tying them to tangible examples — explaining cellular respiration through what happens during exercise, or teaching the periodic table through how elements behave in actual reactions rather than in isolation.

A Harvard-trained neurobiologist who now works as a scientist at a healthcare startup, Emma teaches science the way she practices it — by asking questions, designing logical approaches, and interpreting data critically. Whether a student is wrestling with cell biology, chemistry fundamentals, or experimental design, she draws on daily lab experience to make abstract concepts tangible.

Studying economics at UChicago means Brian spends most of his time doing what science courses ask students to do — building models, testing predictions against data, and revising explanations when the evidence doesn't cooperate. That training in quantitative reasoning carries over naturally when he tackles topics like experimental design, graphing relationships between variables, or interpreting results in a lab report. His 1560 SAT confirms he's comfortable with both the analytical and reading-comprehension sides of science material.

Michelle's 35 ACT — which includes a dedicated Science section built around data interpretation, experimental design, and conflicting-viewpoints passages — means she's practiced exactly the kind of rapid graph reading and hypothesis evaluation that general science courses test. She teaches students to pull conclusions from tables and figures quickly, a skill that sharpens both their test performance and their ability to reason through lab work in class. Rated 4.9 by students.

A Stanford Human Biology degree with a bioinformatics concentration means Matthew has lived in the overlap of biology, chemistry, and data science. He unpacks scientific concepts top-down — starting with the big question a topic answers before diving into mechanisms and details. That approach is particularly effective for students who struggle when science courses feel like disconnected facts.

Having earned a 1540 SAT — a test that leans heavily on interpreting graphs, evaluating experimental claims, and reasoning through data — Ayako brings sharper analytical skills to science than her English major might suggest. She's particularly good at helping students who can do the thinking but struggle to articulate it, since translating observations into clear written explanations is exactly where her literary training and scientific reasoning overlap. Rated 5.0 by students.

Julia's academic research experience gives her a feel for how science actually operates: forming hypotheses, interpreting data, and revising conclusions when the evidence shifts. She applies that same iterative thinking when walking younger students through topics like forces, ecosystems, or the scientific method, making sure they understand the reasoning behind each answer.