Award-Winning Science Tutors
serving Davenport, IA

A computer science degree builds the same systematic thinking science demands — isolating variables, testing predictions, and debugging when results don't match expectations — and Joshua applies that problem-solving instinct to topics like energy, matter, and experimental design. His 1560 SAT confirms he can handle the reading-heavy, data-interpretation side of science that often trips students up more than the content itself.

An economics degree from the University of Chicago means Elliot spent four years immersed in statistical modeling, hypothesis testing, and data interpretation — skills that translate naturally when students need to design experiments, read graphs, or explain what their results actually mean. He's especially comfortable with the quantitative side of science, from unit conversions to calculating rates of change, since his coursework in econometrics and calculus built those muscles daily. Rated 4.9 by students.

Mary's broad teaching range across math, reading, and writing means she can spot exactly which underlying skill is tripping a student up in science — whether it's the math behind a formula, the vocabulary in a textbook passage, or the logic needed to connect an observation to a conclusion. She walks students through each piece separately before putting it all back together, which keeps the subject from feeling like an overwhelming wall of facts.

Emily's undergraduate degree in Molecular, Cellular, and Developmental Biology and her MPH in Epidemiology give her deep fluency in both life sciences and the quantitative reasoning that underpins them. She unpacks topics like cell division, genetics, and experimental design by tying abstract concepts to real-world examples from public health research. Rated 5.0 by students.

Between a Caltech degree spanning economics and computer science, coursework that ranged from AP Chemistry to physics and engineering, and a 1580 SAT, Brian has unusually deep firsthand experience with the scientific disciplines most tutors only teach from a textbook. He's especially strong on the quantitative backbone of science — setting up equations from word problems, interpreting data sets, and connecting mathematical models to physical phenomena like thermodynamics or mechanics.

Two biology degrees and admission to medical school mean Perry has lived the full arc of science education, from introductory labs to upper-level biochemistry and physiology. He connects abstract concepts like cellular respiration or chemical equilibrium to concrete examples that make the logic stick. Students working with him get someone who genuinely thinks in scientific terms, not just someone reciting definitions.

Having earned a 1530 SAT — which leans heavily on interpreting data, reading graphs, and evaluating evidence-based claims — Matt brings sharp analytical skills to science material even though his degrees are in finance. He's particularly useful for the quantitative side of science: setting up calculations, converting units, and making sense of numerical relationships in lab work or textbook problems.

Legal training is essentially argument construction from evidence — and Emily applies that same framework when teaching students to work through hypotheses, evaluate experimental outcomes, and explain what data actually supports versus what it doesn't. Her philosophy degree from Northwestern also built the formal logic skills that underpin scientific reasoning, from identifying control variables to spotting flawed conclusions in a lab report.

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.

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.

Between her biomedical engineering major, pre-med coursework, and active autism research at the Yale School of Medicine, Ellie covers biology, chemistry, and physics with the depth of someone who uses all three daily. She unpacks tricky concepts — enzyme kinetics, circuit analysis, stoichiometry — by linking them to real experiments and clinical applications that make the material stick.

Doctoral work in clinical psychology at Duke means Shelley designs and analyzes research studies regularly — controlling variables, interpreting statistical output, and defending conclusions in front of faculty who pick apart every methodological choice. That daily practice with the scientific method gives her a practical fluency she brings to teaching concepts like experimental design, data analysis, and hypothesis testing. Her 5.0 rating suggests she makes that rigor accessible rather than intimidating.

As a mechanical engineering student at Harvard, Christopher lives at the intersection of physics and chemistry daily — calculating forces, analyzing material properties, and modeling energy systems. That applied perspective makes him especially effective at showing students why scientific concepts matter beyond the textbook, turning abstract formulas into concrete, intuitive ideas.

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.

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.