Award-Winning Science Tutors
serving Yonkers, NY

Luke's English and theology training built a habit of close reading and systematic argumentation that he carries into science — teaching students to parse dense passages about ecosystems or chemical reactions the same way he'd break down a complex text. His middle school science teaching experience means he knows exactly which vocabulary and diagram-interpretation skills trip students up at that level, and he builds lessons around those sticking points rather than covering everything at once.

Frank's science tutoring centers on physics, where he has taught at the Regents, AP, and SAT Subject Test levels. He emphasizes setting up problems methodically — drawing free-body diagrams, identifying conservation laws, choosing the right kinematic equation — so students build a problem-solving process they can trust on exams.

Benjamin's approach to science leans on the same skills he teaches in his linguistics courses: reading complex material carefully, interpreting data, and drawing conclusions that the evidence actually supports. He's strongest on the literacy side of science — helping students parse dense textbook passages, understand experimental design, and write clear lab reports. For students who grasp the concepts but struggle to communicate them on paper, that's often the missing piece.

A finance degree means Saad spent semesters buried in statistics, data modeling, and quantitative analysis — skills that translate cleanly to teaching students how to read graphs, interpret experimental results, and work through the math embedded in science coursework. He's particularly effective at showing students how to set up calculations involving rates, proportions, and unit conversions without letting the numbers overshadow the underlying scientific concepts.

Sam's economics degree from Vanderbilt required heavy coursework in statistical analysis and interpreting empirical data — skills that translate directly to reading graphs, identifying variables, and understanding experimental design in science. His history training adds another layer: evaluating evidence, weighing competing explanations, and building arguments from observations rather than assumptions. That combination makes him especially effective at teaching students to think through science problems instead of just memorizing terms.

A PhD in Law and an economics degree mean Dexter has spent years doing what science fundamentally requires — building arguments from evidence, questioning assumptions, and testing whether conclusions actually hold up under scrutiny. He's especially strong at walking students through data interpretation and experimental design, treating each lab or worksheet like a case where the evidence has to speak for itself. Rated 4.7 by students.

Stella's background in anatomy, physiology, and biology means she can connect scientific concepts across systems — explaining, for instance, how cellular respiration ties into organ function and whole-body homeostasis. She closes every session with a rapid-fire quiz to lock in vocabulary, processes, and diagrams before a student walks away.

A math master's degree means Gregg has spent years working with the quantitative backbone of science — unit conversions, proportional reasoning, graphing relationships, and interpreting numerical data from experiments. He's especially useful when students hit the calculation-heavy parts of physical science or chemistry and need someone who can make the math feel intuitive rather than like a separate obstacle. Rated 4.9 by students.

Eight months living in Madrid taught Maureen how to learn by immersion — observing closely, testing assumptions, and adjusting on the fly — which is essentially the scientific method in action. She brings that same curiosity-driven approach to science tutoring, particularly when walking students through how to form a hypothesis, design a simple experiment, and explain what their results actually mean. Her state-certified teaching background means she knows how to pace a lesson so concepts build on each other instead of piling up.

Psychology sits at the intersection of social science and hard science, and Joseph uses that overlap to make scientific reasoning click — interpreting data tables, understanding experimental design, and distinguishing correlation from causation. His approach treats science as a way of thinking rather than a set of facts to memorize.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 physics major at Yale, Ian brings the real thing to science tutoring — actual lab experience with controlled experiments, quantitative analysis, and the kind of cause-and-effect reasoning that underpins every branch of science from biology to earth science. He's particularly strong at walking students through the quantitative side: reading graphs, converting units, and making sense of formulas that feel intimidating until someone shows you what each piece actually represents. His 1550 SAT confirms the cross-disciplinary reasoning chops to back it up.

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.

Evan's 1510 SAT required him to tear apart data presentations, evaluate experimental designs, and draw conclusions from unfamiliar graphs — the same core skills that science coursework tests at every level. His English minor at Northwestern also means he can coach students through the reading-heavy side of science, from parsing dense textbook passages to writing up lab results that actually communicate what happened and why.

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.

Tony's biology degree from Yale and his preparation for medical school mean he's spent years immersed in the life sciences, from molecular genetics to physiology to organic chemistry. He breaks down scientific concepts by grounding them in biological systems he knows deeply — explaining gas exchange through lung anatomy, or enzyme behavior through metabolic pathways — giving students a concrete handle on material that can otherwise feel abstract.