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 philosophy degree from Princeton means Jeff spent years doing exactly what science coursework asks of students — constructing logical arguments, identifying flaws in reasoning, and evaluating whether evidence actually supports a claim. He teaches the scientific method as a form of structured argumentation: hypothesis as thesis, experiment as proof, conclusion as defense. His 1550 SAT confirms he handles the quantitative and data-interpretation side with equal precision.

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.

Law school at the University of Chicago drills a specific kind of reasoning — isolating what the evidence actually proves versus what you assume it proves — and Elena applies that same discipline when walking students through scientific concepts like experimental design, variable control, and data interpretation. Her government and Spanish double major means she's used to synthesizing dense, unfamiliar material quickly, which is exactly the skill students need when a science unit throws new terminology and complex diagrams at them simultaneously.

As a medical student at Northwestern's Feinberg School of Medicine, Anna lives inside scientific reasoning every day — forming hypotheses, interpreting data, and connecting biological systems to real outcomes. She brings that same structured thinking to general science topics like the scientific method, ecosystems, and basic chemistry, making each concept feel purposeful rather than random.

Viktor's math degree and current computer science work at NYU give him a quantitative backbone that translates well to science subjects — especially the physics, chemistry, and data-interpretation problems where students struggle more with the math than the science itself. He's strongest at untangling unit conversions, graph analysis, and formula application in scientific contexts.

An economics major might seem like an unusual fit for science, but Ellie's quantitative background means she's comfortable with the data interpretation, graphing, and hypothesis-testing skills that run through every science class. She's especially effective at teaching students how to read charts, set up experiments logically, and connect observations back to underlying principles.

A psychology degree from Duke means Pinelopi spent semesters designing experiments, controlling for confounding variables, and interpreting statistical results — all core scientific skills that most students struggle to apply on their own. She's especially strong at walking through how to set up a fair test and explain what the data actually supports, since that's exactly what her research methods coursework demanded. Holds a 5.0 rating.

Alex's English and political science training built the exact skill set that trips most students up in science classes — reading dense nonfiction carefully, pulling key information from complex passages, and constructing written explanations that actually answer the question. He's particularly useful for students who understand the concepts but lose points on lab write-ups, short-answer responses, and any assignment where 'explain your reasoning' appears in the directions.

Between his 35 ACT and a University of Chicago economics curriculum heavy on statistical modeling and quantitative analysis, Benjamin has the analytical toolkit to tackle science topics that lean on math — interpreting graphs, calculating rates, and connecting variables in experimental setups. He's especially good at walking students through the logic of why an experiment is designed a certain way, not just what the textbook says the answer is. Rated 4.8 by students.

Years of teaching second, third, and fourth graders gave Molly a clear picture of where young students get stuck in science — reading a thermometer, designing a fair test, or explaining why a prediction was wrong. Her classroom experience with reading intervention also pays off here, since so much of elementary science depends on comprehending nonfiction text and pulling meaning from diagrams. Rated 5.0 by students.

I am a recent graduate of the University of Chicago with a BA in English and a MA in the Humanities. My specialties are tutoring in test prep, writing, and reading. I am more than happy to spend time on my students outside of our organized sessions to ensure everyone meets their goals. Please do not hesitate to reach out if you have any questions. Looking forward to our tutoring sessions!