Award-Winning Science Tutors
serving Omaha, NE

A double major in geology and biochemistry gives Aaron unusual range across the sciences — he can walk through cell biology one session and explain mineral classification or plate tectonics the next. He ties scientific vocabulary and processes back to real observations, whether that's interpreting rock layers in a road cut or tracing energy flow through an ecosystem.

Studying neuroscience at Vanderbilt means Avi lives at the intersection of biology, chemistry, and physics every day. He unpacks scientific concepts — whether it's balancing chemical equations, interpreting force diagrams, or tracing energy through an ecosystem — by grounding each one in real-world examples that make the material stick.

Studying chemical engineering at Michigan means Edward lives in the overlap of chemistry, physics, and applied math every day. He unpacks scientific concepts — whether it's stoichiometry, thermodynamics, or unit analysis — by connecting them to real processes students can visualize. That engineering lens makes abstract science topics feel concrete and logical rather than arbitrary.

I am my strongest and best self when helping others. As an enthusiastic, passionate, and dependable teacher, I am consistently working to share and engage with the material I love.

Physics is where Oluwatosin's expertise runs deepest — as an electrical engineer, he built his career on applying scientific principles like electromagnetism, thermodynamics, and circuit analysis to real systems. He unpacks scientific concepts by tying them to tangible examples, making abstract ideas like wave behavior or energy conservation click for students who need more than a textbook definition.

Being on a pre-med track while studying engineering at the University of Nebraska–Lincoln means Guillermo lives in both the physical and biological sciences every day. He breaks down topics like cell biology, force diagrams, and chemical reactions by tying them to real-world applications — the kind of concrete examples that make abstract concepts stick.

An Engineering Technology degree requires heavy coursework in physics, chemistry, and applied sciences, so Jeremy knows how to break down lab concepts, unit conversions, and data interpretation from firsthand experience. He's particularly good at teaching students how to connect formulas to what's actually happening in a physical system rather than treating equations as abstract puzzles.

While science isn't Erika's primary field, her psychology training involved heavy exposure to research design, data interpretation, and the scientific method. She tackles science coursework by teaching students to read experiments the way a researcher would — identifying variables, evaluating controls, and drawing conclusions from data.

A classical languages degree means Zachary spent years dissecting Latin scientific terminology at its roots — a skill that makes vocabulary-heavy science material far less intimidating for students encountering terms like "photosynthesis" or "endothermic" for the first time. He also brings strong quantitative chops (1480 SAT, 32 ACT) and uses his background in systematic grammar analysis to teach students how to read dense textbook passages and extract the key relationships between concepts.

Computer science trains you to think in systems — how inputs become outputs, how variables interact, how small changes cascade — and that mindset translates directly to understanding scientific concepts like energy transfer, cell processes, and experimental design. Matthew applies that structured thinking when walking through lab data or explaining how forces act on an object. His 32 ACT, including the Science section, backs up his comfort across disciplines.

Psychology is fundamentally a science degree — James spent his undergraduate training learning experimental design, statistical analysis, and how to evaluate peer-reviewed research. Now pursuing a Ph.D. in School Psychology, he brings that research literacy to science tutoring, breaking down how to form testable hypotheses, control for variables, and draw conclusions from data. Rated 5.0 by students.

Having studied chemistry, physics, and calculus alongside his computer science degree at Grinnell College, Oen brings genuine STEM fluency to science tutoring — he doesn't just know the vocabulary, he understands the math and logic underneath it. He's especially strong at walking students through quantitative problems like balancing equations, interpreting motion graphs, or converting units, treating each one as a puzzle with a clear sequence of steps rather than a formula to memorize.

A chemistry degree and pre-med coursework mean Natalie can move fluidly between biology, chemistry, and physics concepts — connecting, say, how chemical bonding principles explain enzyme behavior in living systems. She breaks down the scientific method and data interpretation skills that underpin every science class, making cross-disciplinary connections that stick. Rated 4.8 by her students.

Hi! I'm Ronit, and I'm a PhD student in Biostatistics with a passion for helping students build confidence and truly understand what they're learningnot just memorize steps. I have experience teaching and tutoring students across a range of levels and enjoy breaking difficult concepts into clear, manageable pieces. My strengths are in mathematics, statistics, data analysis, and quantitative problem solving, but I also enjoy helping students develop study strategies, prepare for exams, and improve long-term academic skills. Whether you're trying to raise a grade, prepare for a big test, or finally understand a topic that hasn't clicked yet, I aim to create a supportive and personalized learning environment. I believe good tutoring should feel collaborative and low-pressure. I adapt my teaching style to each student and focus on helping them become more independent and confident over time. I'm excited to work together and help you reach your goals!

Hello! My name is Himanshu and I've been a private tutor for over 7 years specializing in chemistry, biology, math, and English literature/composition. I attended the University of Nebraska-Lincoln with a major in Microbiology and minors in Biochemistry, Math, and English. I am now working towards my Doctor of Pharmacy (PharmD) degree at the University of Nebraska Medical Center, as well as my MBA in Medical Administration and Management. I have a great success rate when it comes to tutoring, especially with students who are encountering new topics or unfamiliar concepts. I am a firm believe in the "see-one, do-one, teach-one" strategy for teaching, with a very heavy emphasis on showing the logic behind problem-solving methods. Basically, I like to break down topics in ways that keep my students engaged and help them understand the "why" with the "how". I look forward to helping your student achieve their academic goals!

As a Music Industry major at USC, Ingrid might not seem like an obvious pick for science — but her 35 ACT means she crushed the Science section, which is really a test of graph reading, data comparison, and spotting trends across conflicting experiments. She teaches students to stop overthinking the content and start treating science problems as puzzles where the answer is almost always sitting in the figure or table.

Erika's math-heavy teaching background — from arithmetic through calculus — means she's comfortable with the quantitative backbone of science: unit conversions, interpreting graphs, and working through rate calculations that often trip students up in physical science and biology. She brings a lighthearted, read-the-room approach to topics that can feel intimidating, adjusting her explanations on the fly until the concept actually lands. Her 33 ACT confirms she can handle the cross-disciplinary reasoning science coursework demands.

Film and animation work requires more applied science than most people realize — Michaela's 3D animation training involved physics simulations, understanding how light behaves across surfaces, and modeling natural phenomena with mathematical precision. That technical foundation makes her well-suited to explain concepts like force, motion, and energy transfer through visual and spatial reasoning that clicks for students who learn better by seeing than by reading. Rated 5.0 by students.

Rachel approaches science the way she approaches a difficult text: by slowing down, identifying what the question is actually asking, and organizing information before jumping to conclusions. Her strength is in teaching students how to read scientific problems carefully and pull out what matters, which is often the skill that's actually holding grades back.

Growing up in Malaysia before studying at Penn and completing a Master's in Education at Harvard, Yu picked up science through multiple educational systems — which means she's seen the same concepts taught in very different ways and knows which explanations actually land. She leans on that cross-cultural perspective to teach topics like the scientific method, experimental reasoning, and data interpretation by reframing them until they click. Her chemistry background also lets her go deeper when students hit the quantitative side of science.

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.

An economics degree means Simon spent years building and testing models — controlling for variables, interpreting data sets, and figuring out whether the numbers actually support a conclusion or just look like they do. That same process underpins every science class, from setting up a controlled experiment to reading a graph and explaining what it reveals. His 1540 SAT confirms the quantitative and analytical chops to back it up.

A social sciences master's degree means Lauren spent years doing what science coursework actually asks of students — reading studies, questioning methodology, and pulling defensible conclusions from messy data. She's particularly good at walking through how to set up a controlled experiment and explain results in plain language, since her own graduate research required exactly that. Rated 5.0 by students.

A PhD program in Spanish and Iberian Studies might not scream 'science,' but Renee's doctoral training drilled the same core skills science coursework requires — forming a thesis from evidence, analyzing patterns in complex material, and defending conclusions under scrutiny. She's particularly useful for students who struggle with the literacy-heavy side of science: parsing dense textbook passages, interpreting diagrams, and writing clear lab reports that actually explain what happened and why.

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.

A philosophy grad student at UNM with a 34 ACT, Justin treats science the way he treats an argument in formal logic — isolating each claim, checking whether the evidence actually supports it, and identifying where the reasoning breaks down. That approach is especially useful when students need to evaluate hypotheses, interpret graphs, or explain why an experiment's results do or don't match a prediction. His 5.0 rating suggests the method lands.

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.

An economics degree requires serious fluency in hypothesis testing, data analysis, and statistical reasoning — and Kathy's dual background in economics and studio art means she can tackle both the quantitative and observational sides of science coursework. She's particularly good at teaching students how to read graphs, set up controlled comparisons, and translate raw data into clear written explanations, blending the analytical rigor of her econ training with an artist's eye for visual detail.

Having studied biology and chemistry alongside her political science degree at the University of Chicago, Asta can walk students through core science concepts — from cell structure to chemical reactions — with genuine content knowledge rather than just test-taking tricks. Her 35 ACT confirms she handled the Science section's rapid-fire data interpretation at a near-perfect level, and she brings that same ability to teach students how to read graphs, pull patterns from tables, and connect evidence to conclusions. Rated 5.0 by students.

A master's in environmental engineering means Kate didn't just study biology, chemistry, and physics — she used all three together to solve real problems like modeling water contamination or analyzing energy systems. That cross-disciplinary perspective makes her especially effective at showing students how scientific concepts connect rather than treating each unit as isolated material. Rated 4.9 by students.

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.