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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Studying the history of science and medicine at Yale meant Christopher spent years tracing how scientific concepts actually developed — from early hypotheses through experimental design to modern understanding. He uses that narrative lens to teach topics like the scientific method, cell biology, and basic chemistry in a way that makes the material feel like a story unfolding rather than a list of disconnected facts.

Biology is Judah's home turf — he's pursuing it as his major at WashU with plans for medical school — but his science tutoring extends to the foundational chemistry and physics concepts that overlap with introductory bio courses. He unpacks processes like cellular respiration or Mendelian genetics by connecting each step to a concrete, visual model rather than leaving students to memorize disconnected facts.

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.

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.

An MBA program demands constant engagement with quantitative analysis — reading charts, interpreting market data, and pressure-testing assumptions — and Gerard brings that same rigor to science material, particularly when students need to make sense of graphs or explain what an experiment's results actually tell them. His government background also means he's practiced at constructing logical arguments from evidence, which is exactly what a good lab conclusion requires.

Bina's PPE background included empirical reasoning and data interpretation, which maps well onto the scientific method and evidence-based thinking that science courses require. She teaches students how to read graphs, design basic experiments, and connect vocabulary-heavy concepts to the underlying logic rather than relying on rote memorization.

A PhD in cancer and cell biology research, a master's in biomedical engineering, and an undergraduate degree in biological engineering give Kelly unusually deep range across the sciences — from molecular biology and physiology to physics-based engineering principles. She connects scientific concepts to real research applications, which makes topics like cellular respiration or force diagrams stick in a way that rote review rarely does.

Reading-heavy science assignments — decoding diagrams, parsing experiment descriptions, pulling key details from dense textbook passages — play to Samantha's strengths as an English major who also tutors math and history. She teaches students to treat science problems the way she treats a close reading: slow down, identify what's actually being asked, and build an answer from the evidence on the page. Rated 4.8 by students.

Studying neurobiology and behavior at Penn gave Natalie deep fluency in biology, anatomy, and the scientific method — exactly the foundation that makes middle school science topics like cell structure, body systems, and experimental design click for younger students. She connects textbook concepts to how the brain and body actually work, which tends to make the material far more memorable.

Sam approaches science as a subject that rewards curiosity over memorization, walking students through how to read data, form hypotheses, and connect observations to underlying principles. His volunteer EMT experience gives him a practical lens on biology and human body systems that makes textbook concepts feel immediate and relevant.

An economics major at Penn, Katherine spent semesters immersed in statistical modeling, hypothesis testing, and data interpretation — quantitative skills that translate cleanly to the measurement, graphing, and experimental-design components of science coursework. She's particularly effective at walking students through how to read a data table, identify what variables are actually being tested, and articulate conclusions in precise language rather than vague summaries.

A theatre degree might not scream 'science tutor,' but Johann's 1490 SAT required him to tear through data interpretation, experimental design questions, and evidence-based reasoning at a high level — and his 5.0 rating shows he can make that analytical process click for others. He's particularly good at teaching students to slow down and actually read what a graph or table is telling them before jumping to conclusions.

While science isn't Victoria's primary credential, she has tutored high school students in physics and understands how to make scientific reasoning accessible. She leans on her teaching training to break down lab reports, data interpretation, and conceptual problem-solving into clear, repeatable steps.

A philosophy degree from Cornell builds one very specific habit: refusing to accept a claim without examining the reasoning behind it — which is exactly what science asks students to do when evaluating hypotheses, interpreting lab results, or explaining why an experiment did or didn't support a prediction. Christian applies that same logical rigor to helping students move from passively reading science material to actively questioning it, breaking down cause-and-effect chains step by step.

A master's in statistics means Jonathan spent years doing exactly what science courses ask students to do — formulating hypotheses, designing studies, and figuring out whether data actually supports a conclusion or just looks like it does. He's especially strong on the quantitative backbone of science: reading graphs, understanding error and variability, and knowing when a result is meaningful versus noise. His psychology background adds a layer of real experimental design experience that makes the scientific method feel like a process rather than a worksheet.

A Harvard history degree might not scream science, but the research skills Matthew built there — evaluating sources, constructing evidence-based arguments, and spotting flawed reasoning — are exactly what students need when they're learning to work through hypotheses and interpret experimental outcomes. His 1500 SAT also confirms he can handle the quantitative side, from reading data tables to working through unit conversions and calculations.

Three engineering degrees — including one in applied mathematics — mean Rahi has spent years doing what science courses ask students to do: model real systems, test predictions with data, and revise when the numbers don't match. He's strongest on the quantitative backbone of science, from setting up equations that describe physical relationships to interpreting what a graph's slope or intercept actually tells you about an experiment. His 34 ACT confirms he can handle the cross-disciplinary reading and reasoning the subject demands.

A biology degree from Washington University in St. Louis means Micah didn't just study one science — he worked through organic chemistry, physics, and statistics along the way. That cross-disciplinary background lets him connect topics like cellular respiration to thermodynamics or genetics to probability, giving students a richer understanding of whatever science course they're tackling.

While science isn't Sarah's primary discipline, her PhD research at Harvard involves ethnographic methodology, data interpretation, and analytical reasoning — skills that overlap directly with how science courses ask students to evaluate evidence and draw conclusions. She's a strong fit for students who need to sharpen their scientific reading and reasoning rather than memorize formulas.