Ben's science tutoring draws on his IB Chemistry background and the quantitative rigor of his Penn math training, which means he's especially effective when science gets mathematical — balancing equations, interpreting rate laws, or working through stoichiometry. He teaches students to translate word-heavy science problems into clean mathematical setups they can actually solve.

An MIT math major doing research in Spectral Graph Theory, Enrico brings serious quantitative muscle to science — the kind that makes unit conversions, rate calculations, and data analysis feel routine rather than intimidating. He's especially sharp at teaching students to read graphs and extract meaning from numerical relationships, since that's essentially what his daily research involves. Holds a 5.0 rating and a 36 ACT.

Scoring a 35 on the ACT means Naomi tackled the Science section's dense data tables and conflicting-viewpoints passages with precision — skills she now teaches younger students who are learning to read graphs, interpret experiments, and think scientifically. She approaches science as a reasoning discipline, walking through how to pull conclusions from evidence rather than relying on memorized facts.

As a social studies teacher, Bradley regularly teaches students to read charts, interpret demographic data, and trace cause-and-effect through complex systems — skills that overlap heavily with what science coursework actually asks kids to do. His 33 ACT confirms he can handle the quantitative and data-interpretation demands of the subject, and his classroom experience means he knows how to slow down and re-explain when a concept isn't landing.

A PhD in neuroscience means Elliot has spent years doing actual science — designing experiments, analyzing data, and defending conclusions in front of panels that don't accept hand-waving. That firsthand lab experience shows up when he teaches topics like the scientific method, experimental controls, and data interpretation, because he can draw on real research examples instead of textbook abstractions. Holds a 5.0 rating from students.

A chemical engineering degree is essentially applied science — thermodynamics, fluid mechanics, reaction kinetics — so Olivia brings real depth to topics in both chemistry and physics. She unpacks concepts like stoichiometry, energy conservation, and wave behavior by tying them to concrete examples rather than leaving them as abstract formulas. Students who feel overwhelmed by science courses often find that her structured, step-by-step explanations make the material far more approachable.

Between a math-and-physics track at Harvard and a 34 ACT, Matthew has the quantitative backbone that makes science tutoring click — especially when students hit the parts that are really disguised math, like balancing equations, calculating density, or interpreting motion graphs. He also brings programming experience in Python and Java, which means he can teach students to think about scientific problems computationally: modeling data, spotting patterns, and testing predictions systematically.

A physics degree means Vaughn has spent years doing science the hard way — designing experiments, deriving equations from first principles, and connecting abstract laws to measurable phenomena in the real world. That hands-on foundation in mechanics, electromagnetism, and data analysis makes him one of the few tutors on this page whose entire undergraduate training was built around the scientific method. He holds a 4.7 rating.

An applied mathematics major who's taken heavy coursework in both math and computer science, Samuel brings genuine quantitative muscle to science — particularly the measurement, graphing, and calculation-heavy portions that make students' eyes glaze over. He connects abstract scientific concepts to real-world applications, which turns "when will I ever use this?" into actual curiosity about how systems work. His 1590 SAT confirms he can handle the analytical reading and data interpretation that science demands.

A math degree from Georgetown means Peter spent four years immersed in the kind of precise, logical reasoning that underpins every branch of science — setting up problems carefully, testing whether solutions hold, and explaining results step by step. He's strongest on the quantitative side of science coursework: unit conversions, interpreting graphs, and working through formulas in physics or chemistry without letting the math become a roadblock. Holds a 5.0 rating.

A master's in chemistry paired with university-level teaching gives Madhura unusual range across the sciences — she can walk a student through balancing redox reactions one session and cell organelle function the next. She treats science as interconnected rather than siloed, linking energy concepts in physics to chemical bonds to biological processes so the bigger picture clicks.

Mollie's English and linguistics degree from the University of Chicago isn't a traditional science background, but linguistics is built on the same systematic thinking science demands — forming hypotheses about how language works, testing them against data, and revising when the evidence doesn't fit. She's especially useful for students who can handle the concepts but struggle to articulate their reasoning in lab write-ups or short-answer explanations. Holds a 5.0 rating.

Studying computational biology at MIT puts Theresa at the intersection of life sciences, chemistry, and data analysis every day. She unpacks scientific concepts — from cell biology and genetics to experimental design — by tying them to real research questions, which makes the material click faster than rote memorization ever could.

Studying mechanical engineering means Zach lives at the intersection of physics, chemistry, and applied math every day — so he can explain concepts like energy conservation, force diagrams, or reaction stoichiometry with the fluency of someone who actually uses them. He's especially effective at connecting abstract scientific principles to tangible examples that make the material click.

Jacob's 34 ACT required him to tear through data-heavy passages in the Science section — extracting trends from graphs, evaluating conflicting hypotheses, and drawing conclusions under tight time pressure — and that's the same analytical toolkit he brings to science tutoring. His voice and opera training at Carnegie Mellon also means he's practiced at breaking down complex systems (acoustics, anatomy of the vocal tract, breath mechanics) in ways that make abstract concepts tangible.

Adrianne's strongest asset in science isn't a lab background — it's her ability to make students articulate what they're observing in precise, clear language, a skill honed through years of professional writing and teaching reading comprehension. When a student can explain in their own words why a plant bends toward light or how erosion reshapes a landscape, the concept locks in far more deeply than flashcard definitions ever could.

Rishi's math-heavy coursework at Yale gives him a quantitative backbone that translates well to science fundamentals — interpreting data tables, unit conversions, and reasoning through cause-and-effect in experiments. He breaks scientific problems into their underlying logic so students learn to think through unfamiliar questions rather than relying on memorized formulas.

While science isn't her core discipline, Patrice's strength here is the skill most science students underestimate: interpreting what they read. She teaches students to break down dense textbook passages, extract key information from lab procedures, and write clear scientific explanations — the literacy side of science that often makes the difference between a B and an A.

A Classics and History background might not scream science, but Antony's deep familiarity with Greek and Latin roots means he can crack open scientific terminology — taxonomy, photosynthesis, mitochondria — so students actually understand what the words mean instead of treating them as random strings to memorize. He also brings the same evidence-weighing habits historians use to science material, teaching students to evaluate claims and trace cause-and-effect through experimental scenarios. Holds a 5.0 rating.

Cathy's PhD in Materials Science means she's spent years investigating how atomic structure determines the physical properties of everything from semiconductors to polymers — the kind of deep, hands-on research that makes explaining scientific concepts second nature. Her electrical engineering background adds fluency in physics and applied math, so she can bridge topics like electricity, waves, and energy in ways that feel unified rather than compartmentalized. Rated 5.0 by students.

A chemical and biomolecular engineering background means Tiasha sees science as one interconnected system — chemistry explains biology, physics explains chemistry, and math ties it all together. She walks students through the scientific method, experimental design, and core concepts in physical and life sciences with an emphasis on understanding the 'why' behind each phenomenon.

Currently in her first year at Pitt Med, Danielle brings a biology degree from Tufts and daily immersion in the life sciences to her science tutoring — she's actively learning physiology, anatomy, and biochemistry at a graduate level while teaching foundational concepts like cell function, genetics, and chemical processes. Her 36 ACT composite (including a top Science section score) speaks to her ability to break down data-heavy passages and experimental reasoning, skills she passes along to students tackling science coursework at any level.

I am very big on allowing my students to actively learn. I believe that this is the best way for my students to learn because it helps them pick up on new information and skills quickly.

Elementary science often gets rushed in classrooms, which means students arrive at middle school with shaky understanding of basics like the water cycle, states of matter, or how plants actually make food. Emma treats these topics as genuine inquiry — asking students to predict, observe, and explain rather than just memorize vocabulary lists. Her M.Ed. training gives her a toolkit of hands-on strategies that make concepts like ecosystems and simple machines click.

Running a financial planning firm for nearly a decade meant Daniel lived in spreadsheets, forecasts, and data-driven decision-making — skills that translate naturally when teaching students to interpret graphs, control variables, and draw conclusions from experimental evidence. His energy policy research at the graduate level, focused on unconventional hydrocarbons, required real scientific literacy: reading technical studies, evaluating methodology, and understanding chemistry and geology well enough to brief policymakers. That blend of quantitative business experience and policy-oriented science gives him a practical angle most science tutors don't have.

Mechanical engineering at Carnegie Mellon sits at the intersection of physics, chemistry, and applied math, which gives Vincent an unusually practical lens on science topics. He connects textbook concepts — Newton's laws, thermodynamics, chemical equilibria — to real systems, making it easier for students to reason through problems instead of hunting for the right equation to plug into.

Clinical psychology sits at the intersection of biology and behavioral science, which gives Danny a practical handle on topics like the scientific method, experimental design, and basic human physiology. He teaches students to read data critically and understand why a study's results mean what they claim — skills that transfer across every branch of science.

Zora's background in Applied Psychology gives her a sharp understanding of how younger learners actually absorb scientific concepts — from life cycles and ecosystems to basic experimental design. She teaches science as a process of asking questions and testing ideas, connecting each lesson to things students already notice in the world around them.

A counseling psychology master's degree means Annie spent years learning to read research studies, evaluate statistical claims, and understand biological systems — from neuroscience to pharmacology — that most people don't associate with a psychology program. She unpacks scientific concepts by grounding them in real-world examples students already care about, like how the brain processes stress or why controlled experiments matter in medicine.

Between her neuroscience major, chemistry minor, and pre-med prerequisites in biology, physiology, and physics, Mary has spent four years immersed in science across disciplines. She's especially sharp at linking concepts across fields — explaining, for instance, how the electrochemistry from a chemistry class connects directly to how neurons fire. That cross-disciplinary lens makes her particularly effective for students who need to see how individual science topics fit into a bigger picture.

Debugging code and running experiments follow the same logic — isolate a variable, test a hypothesis, observe what happens, and iterate. Timothy applies this computational thinking from his computer science studies at the University of Pittsburgh to science topics like data analysis, measurement, and understanding how controlled experiments actually work. Rated 4.8 by students.

I am a current undergraduate student at the University of Pittsburgh, studying Political Science and Psychology with a minor in Spanish. I have ample experience in tutoring and working with children ranging from preschool to 12th grade. Through the Bev Hickman Writing Center at Catonsville High School, I received a full school year's worth of intense writing tutoring training, including AP essays, college applications, cover letters, resumes, and other class assignments. I have also gained experience in childcare through Trinity Summer Camp, where I worked as a counselor for ages 3.5 to 5 for 7 weeks; we focused on creating an enriching environment for education and fun, managing a wide array of behaviors and personalities.

Having taught physics alongside every level of math from basic arithmetic through AP Calculus, Jason knows how to bridge the gap when science problems turn quantitative — whether that's calculating velocity, balancing equations, or converting units mid-problem. His math and education degrees from Duquesne, plus years in both middle and high school classrooms, mean he's seen exactly where students stall out on physical science concepts and can rework explanations on the fly until something clicks.

Priya's double major includes History and Philosophy of Science, which means she studies how scientific ideas develop, get tested, and sometimes get overturned. She brings that perspective to science tutoring — explaining not just what a concept is but how scientists arrived at it, whether the topic is cell biology, basic chemistry, or the scientific method itself.

While science sits outside her core specialization, Mia's experience tutoring the subject draws on the same careful reading and reasoning skills she sharpens in her graduate work. She's especially useful for students who struggle with science because the vocabulary and lab report writing feel overwhelming — breaking down technical language is exactly what a linguist does well.

Biomedical engineering sits at the intersection of biology, chemistry, and physics, so Golda doesn't teach these subjects in isolation — she sees how cell biology connects to chemical kinetics connects to fluid dynamics. That cross-disciplinary perspective, sharpened by her coursework at Georgia Tech, makes her especially effective at showing students why a scientific concept matters beyond the textbook.

A mechanical engineering major who took nearly every AP science course available in high school, Matt brings hands-on understanding to topics like forces, energy, chemical reactions, and experimental design. He explains scientific concepts by tying them to tangible examples — how a bridge bears weight, why a ball curves in flight — which makes abstract ideas click faster.

Science isn't Philip's deepest specialty, but his international relations coursework at Carnegie Mellon intersects with environmental science and data interpretation, and he's comfortable walking students through foundational concepts in earth science, basic physics, and scientific reasoning. He's particularly good at teaching students how to read graphs, design simple experiments, and write clear lab conclusions.

Having tutored biology and other science subjects alongside math and politics as an instructional assistant in both public and private schools, Alexander knows how to connect scientific reasoning to the kind of critical thinking students already use in other classes. He pushes students to explain the logic behind an answer — why a control group matters, what a graph is actually showing — rather than just restating definitions from the textbook.

Patrick's accounting coursework at the University of Pittsburgh was heavier on quantitative reasoning than most people realize — cost-volume-profit analysis, statistical sampling, and interpreting financial data all require the same graph-reading and variable-isolation skills that show up in science classes. He's especially effective at walking students through the math-heavy side of science: unit conversions, calculating rates, and making sense of data tables where the numbers actually need to tell a story.