Award-Winning Science Tutors
serving Milwaukee, WI

A statistics degree from the University of Chicago means Samuel spent years doing exactly what science courses ask students to do — designing studies, interpreting data, and distinguishing meaningful results from noise. He brings that quantitative backbone to topics like experimental design and graphing, while his 35 ACT confirms he can handle the reading-heavy side of science just as comfortably.

Mechanical engineering sits at the intersection of physics, chemistry, and applied math, so Matt tackles science concepts by connecting them to real-world systems — how thermodynamics governs an engine, or why Newton's third law matters in structural design. His minors in biomedical engineering and mathematics give him unusual range across both life and physical sciences.

Not every science tutor thinks about how a student learns before diving into content — Elise does. Her Special Education training sharpens her ability to adapt explanations of concepts like the scientific method, ecosystems, or states of matter to match how each student processes information, whether that's through diagrams, hands-on models, or structured note-taking.

Elizabeth's math and computer science degree means she's comfortable with the quantitative backbone of science — unit conversions, graphing data, calculating rates of change — that trips up students who otherwise understand the concepts. Her software development career also reinforces the same systematic debugging mindset that works well for tracing cause-and-effect in lab experiments and figuring out where a hypothesis went wrong.

Working daily with English language learners on communication skills means Mary is constantly translating complex ideas into clear, accessible language — exactly what students need when science vocabulary and dense textbook explanations start to feel overwhelming. Her speech-language pathology training also gives her a unique angle on the scientific method, since her graduate work at Marquette involved analyzing clinical data, forming evidence-based conclusions, and understanding biological systems like anatomy and neurology. A 34 ACT confirms she's comfortable with the quantitative and reasoning demands of science coursework, too.

While science isn't her graduate specialty, Sophie brings structured analytical thinking and strong reading comprehension to the subject — two skills that matter enormously when students need to interpret data, understand experimental design, or parse dense textbook passages. She's a good fit for students who struggle more with the reading and reasoning side of science than the math.

Daniel's journalism training — verifying claims, evaluating sources, and distinguishing what the evidence actually supports from what someone wants it to say — maps neatly onto the critical thinking science coursework demands. He's particularly strong at teaching students to read data displays and write clear explanations of experimental results, since concise, evidence-backed writing is literally what journalists do every day. His 32 ACT and 5.0 rating back up the approach.

Sociology training at Rice University required Blaque to read and interpret research studies, a skill that translates directly to teaching students how to analyze experiments, evaluate data, and understand the scientific method. Blaque breaks down topics like cell biology or chemical reactions by connecting them to real-world examples that make abstract processes easier to retain.

Early science is all about curiosity — learning to observe, ask questions, and connect everyday experiences to concepts like states of matter or plant life cycles. Monica's art education background gives her a knack for making these ideas visual and hands-on, turning diagrams and experiments into something students actually remember.

Science isn't Ian's core credential, but his economics and math background gives him sharp quantitative skills that translate well to data interpretation, experimental design, and the graph-heavy reasoning that general science courses demand. He's a strong fit for students who need someone to untangle the math inside their science homework.

A computer science background might not scream "science tutor," but Casey's program at UW-Milwaukee required physics and quantitative reasoning courses that built real fluency with the scientific method, unit analysis, and data interpretation. He approaches science problems the way a programmer debugs code — isolating variables and testing one piece at a time.

A master's in special education taught Joseph how to break down abstract concepts — like energy cycles or states of matter — into concrete, sequential steps that actually land with students who process information differently. His secondary education training in history also means he's practiced at teaching students to read dense nonfiction passages and pull out key evidence, which is half the work in science classes built around textbook chapters and lab write-ups. Rated 4.8 by students.

A math background turns out to be a real asset in science — Taylor uses it to demystify the quantitative side of topics like unit conversions, data interpretation, and basic physics calculations that trip students up. Her 35 ACT composite, including the Science section, shows she knows how to read graphs, evaluate experimental designs, and pull conclusions from competing data sets.

Kelly tackles science assignments by teaching students how to read critically — pulling key information from diagrams, data tables, and dense textbook passages. Her dual background in history and English literature makes her especially effective at strengthening the reading comprehension and analytical skills that underpin success in any science class.

Biology was Joseph's undergraduate focus at UCLA, and his public health master's at Yale keeps him immersed in how scientific concepts apply to real problems like disease transmission and environmental health. He unpacks topics like the scientific method, cell structure, and ecosystems by connecting them to questions students encounter outside the classroom.

Amber teaches across chemistry and physics — from balancing redox equations to breaking down kinematics problems — and her 35 ACT confirms she can tackle science content at a high level. Her approach connects scientific reasoning to real-world examples, making abstract concepts like energy conservation or stoichiometry click. Rated 5.0 by students.

Competition math sharpened Tracy's ability to think quantitatively under pressure, and that same skill set — reading data, spotting patterns, testing whether an answer actually makes sense — is exactly what science coursework asks students to do with experiments and observations. Her economics training adds a layer of comfort with graphs, variables, and interpreting what numbers mean in context, which covers the analytical side of science that pure memorization misses. Rated 4.9 by students.

Quinn's political science background means he spent years evaluating polling data, dissecting research methodologies, and building evidence-based arguments — skills that overlap heavily with how science asks students to interpret experiments and draw conclusions from data. His 35 ACT confirms he can handle the quantitative and analytical demands of science material, and his 5.0 rating from students suggests he makes those connections stick.

A computer science degree from Stanford means Elyse spends her days doing science in practice — forming hypotheses about why code breaks, isolating variables through systematic debugging, and testing solutions against expected outputs. That same experimental loop translates naturally when she teaches students to design controlled experiments, interpret data sets, or trace cause-and-effect in biology and physical science. Her 35 ACT and 5.0 rating confirm she delivers on the quantitative and analytical sides alike.

Patrick's dual degrees in English Literature and Linguistics from the University of Chicago might not scream science, but linguistics is fundamentally a science — building hypotheses about language structure, testing them against data, and revising models when the evidence doesn't fit. That same cycle of observation, prediction, and analysis is exactly what students need when tackling the scientific method, classifying phenomena, or interpreting experimental results. His 35 ACT confirms he can handle the quantitative and data-reading demands that science coursework throws at students.

A medical student with a UCLA biology degree and years of chemistry and physics tutoring, Abrahim lives in the sciences daily. He unpacks topics like energy transfer, heredity, or chemical reactions by tying them to real phenomena — how a vaccine triggers an immune response, or why ice floats — so the material sticks beyond the test. His 5.0 rating speaks to how well that approach lands.

Maura approaches science the way she approaches a new script: by asking questions until the underlying logic clicks. She's especially effective at walking students through how to read diagrams, interpret lab results, and connect vocabulary terms to the bigger concepts they represent.

A psychology and neuroscience background rooted in pre-med coursework means Alex can explain everything from cell biology and chemical reactions to human body systems with real clinical context. Whether a student is tackling the scientific method for the first time or digging into photosynthesis and genetics, Alex connects abstract concepts to how they play out in the human body — something that tends to make science click. Rated 5.0 by students.

The quantitative rigor of Sophie's Applied Math degree at Brown translates directly to science tutoring, especially when students hit calculation-heavy topics like stoichiometry, kinematics, or data interpretation. She walks through the underlying math step by step, so students stop second-guessing their setup and start trusting their problem-solving process.

A PhD in Urban Education gave Alia years of practice with research design, data collection, and statistical analysis — the same core skills students need when they're learning to set up experiments, interpret results, and draw evidence-based conclusions in science class. Her 25 years teaching across K-12 and university levels means she knows how to adjust explanations of concepts like the scientific method or energy systems depending on whether she's working with a fifth grader or a high schooler. Rated 5.0 by students.

Currently pursuing a doctorate studying tiger ecology at UW-Madison, Karann lives science daily — building population models, analyzing field data, and connecting biology to physics and chemistry in ways textbooks rarely capture. Whether a student is wrestling with the scientific method, energy transfer, or ecosystems, she teaches them to think like a working scientist rather than just memorize vocabulary.

Megan's statistics training at Washington University in St. Louis gave her deep experience with experimental design, data analysis, and interpreting scientific results — the exact skills that show up in middle and high school science when students need to read graphs, evaluate hypotheses, or understand variables in a lab report. Her psychology coursework also means she's comfortable explaining biological and behavioral science concepts.

A math and stats major at Carleton College with a perfect 36 ACT, Thomas brings genuine quantitative muscle to science — particularly the graphing, measurement, and data analysis that underpin lab work and experimental design. He's the tutor to call when a student can follow the biology or chemistry concepts but freezes at calculating concentrations, interpreting a scatter plot, or converting units mid-problem.

Few science tutors bring Elizabeth's range: a math degree from Johns Hopkins, a biology degree from San Francisco State, a medical degree, and seven years teaching high school science. She unpacks topics across biology, chemistry, and general science by grounding abstract ideas — like energy transfer or chemical bonding — in concrete examples students can visualize and explain back in their own words.

Cornell's physics program demands fluency across mechanics, electromagnetism, thermodynamics, and modern physics, so Joel engages with scientific reasoning at a rigorous level every day. He connects equations back to physical intuition — explaining what a formula actually describes before diving into how to use it.

Alexander's political science training built exactly the kind of evidence-evaluation skills that science coursework rewards — reading data carefully, distinguishing strong claims from weak ones, and constructing logical arguments from observations. His 35 ACT confirms he can handle the quantitative and graph-interpretation demands that trip up many students, and his 4.8 rating suggests he makes the material stick.

Nupur's physics background means she doesn't just explain scientific concepts — she demonstrates how observation, measurement, and evidence fit together into a coherent picture. She's especially strong at breaking down topics like chemical reactions, energy transfer, and the scientific method into language students can grab onto and use.

A mechanical engineering degree naturally spans physics, chemistry, and materials science, so Neil approaches science tutoring with an engineer's instinct for connecting principles across disciplines. Whether a student is puzzling over force diagrams, energy conservation, or basic chemical reactions, he ties each concept back to concrete, real-world examples that make the logic stick.

Running experiments in a business program means Maddy knows her way around hypothesis testing, data collection, and drawing conclusions from numbers — the same core skills science courses assess when students have to interpret graphs or explain experimental outcomes. Her ACT score of 33 confirms she can handle the analytical reading and quantitative reasoning that science material demands, and her 5.0 rating suggests she makes those connections stick.

At LearningRx, James taught cognitive skills alongside academic content — which means he's used to showing students how to actually process and retain scientific information, not just re-read it before a test. His economic policy minor involved interpreting data sets and understanding cause-and-effect relationships, skills he now applies to teaching topics like graphing experimental results and tracing how variables interact. Holds a 5.0 rating.

A psychology degree is essentially a science degree in disguise — Alexis spent her undergraduate training learning experimental design, statistical analysis, and how to evaluate whether results actually support a hypothesis. That foundation means she can walk students through the scientific method as someone who's used it firsthand, from controlling variables to interpreting data. Rated 5.0 by students.

Two physics degrees and a master's in atmospheric and space sciences mean Richard can teach science as a unified way of thinking — observation, hypothesis, quantitative reasoning — rather than a collection of disconnected facts. Whether a student needs to understand energy conservation, wave behavior, or thermodynamic processes, he connects each concept back to real physical phenomena.

Having taught comparative religion and communications at UW-Madison, Sarah knows how to take dense, unfamiliar material and make it accessible — a skill that carries over when students need to grasp scientific classification systems, trace cause-and-effect in natural processes, or make sense of technical vocabulary built from Latin and Greek roots. Her graduate work in Asian languages and cultures required rigorous research methods, and she brings that same emphasis on careful observation and evidence-based reasoning to science topics.

Studying neuroscience at Tulane means Abhinav lives inside biology, chemistry, and research methodology every day. He unpacks scientific concepts — cell structure, chemical reactions, experimental design — by connecting them to real examples rather than leaving them as abstract textbook definitions. That hands-on perspective makes him a natural fit for students building their science foundations in middle or high school.

A microbiology PhD student who's spent years at the lab bench, Madeline explains scientific concepts by grounding them in real experiments — how cells actually divide, what happens when you culture bacteria, why ecosystems respond to change the way they do. She makes the scientific method feel like a natural way of asking questions rather than a list of steps to memorize.