Award-Winning Science Tutors
serving Charleston, SC

A Duke biology graduate heading to Yale Medical School, Lenique brings real scientific literacy to topics like the scientific method, ecosystems, and basic chemistry — connecting them to the bigger questions students are naturally curious about. She's taught everyone from kindergarteners to college students, so she adjusts how she explains concepts like energy transfer or cell structure depending on what clicks for each learner.

A chemistry degree from UGA gave Katheryn deep grounding in the scientific method, lab technique, and quantitative reasoning — skills that translate directly to any science course from biology to earth science. She spent multiple semesters instructing general chemistry classes and organic chemistry labs, so she's comfortable breaking down everything from balancing equations to interpreting experimental data.

Nursing school means Rachael lives in biology, anatomy, and chemistry every day — so when a student needs to understand cell structure, the scientific method, or how body systems interact, she's pulling from knowledge she uses constantly. She unpacks scientific vocabulary by linking terms to their Greek and Latin roots, which makes memorization far less painful. Her structured review techniques also translate well to science, where there's often a mountain of terminology to retain before an exam.

A biology degree means David didn't just study science — he lived it through lab work, dissections, and research design across both biological and physical sciences. That dual training makes him especially sharp when students need to connect concepts across disciplines, like understanding how chemistry drives cellular respiration or how physics explains fluid dynamics in the circulatory system. Rated 5.0 by students.

Kelly's broad teaching range — from math and calculus to writing and literature — means she can meet science assignments on multiple fronts, whether a student is struggling with the calculations in a chemistry problem or can't articulate what happened in a lab write-up. She breaks topics into manageable steps and checks understanding at each one, an approach that's earned her a 5.0 rating across twenty subjects.

Biomedical engineering at the University of South Carolina means Janay lives at the intersection of biology, chemistry, and physics every day — dissecting how living systems work using the same scientific principles her students are learning for the first time. She's especially strong at walking through concepts like cell biology, body systems, and experimental design, since her coursework requires applying all of them to real engineering problems. That firsthand connection between textbook science and how it's actually used makes her explanations concrete rather than abstract.

Mechanical engineering coursework means Saad spends his weeks applying physics, chemistry, and calculus to real systems — forces on a bridge, heat flow through a material, fluid dynamics in a pipe — so he can ground abstract science concepts in tangible examples that make them easier to retain. He's particularly strong on the quantitative side, walking students through unit conversions, graph interpretation, and the kind of multi-step problem solving that separates surface-level memorization from genuine understanding. Rated 4.9 by students.

A math major who also tutors technology and coding, Garrick brings a quantitative toolkit to science that's especially useful when students hit the calculation-heavy parts — converting units, graphing relationships, or working through rate and proportion problems in chemistry or physics. He treats every formula as something to understand rather than memorize, walking through the logic behind equations so students can reconstruct them on a test instead of blanking.

Pre-health coursework at the University of Pennsylvania means Shayan has lived the full gauntlet — biology, biochemistry, physiology, pharmacology, and anatomy — and knows how to connect those disciplines into a coherent picture. He teaches science by grounding every concept in a concrete example, whether that's explaining cellular respiration through energy metabolism or walking through organ systems one function at a time.

Applied math and computer science at Johns Hopkins means Sabira spends her days quantifying patterns and testing models — the same core loop students encounter in science when they're asked to measure, predict, and explain. She's particularly strong on the computational side of science: reading data tables, graphing relationships, and working through the math embedded in physics or chemistry problems. Holds a 5.0 rating.

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.

Comparative literature might seem worlds away from science, but Brittney's Princeton training in close reading and textual analysis translates surprisingly well to parsing dense lab instructions, extracting meaning from data tables, and interpreting the kind of evidence-based passages that show up across science coursework. She's strongest with students who can grasp the concepts but struggle to articulate their reasoning in writing — lab reports, short-answer explanations, and constructing arguments from observations. Rated 5.0 by students.

Studying biomedical sciences across multiple degree programs gave Sam a deep comfort with biology, chemistry, and the overlap between them — cell signaling pathways, enzyme kinetics, physiological systems. He unpacks scientific concepts by tying them to real-world applications, like how understanding osmosis explains IV fluid choices in a hospital. That clinical framing tends to make abstract processes click faster for students.

A biochemistry degree from Rice and a current M.D. program at Baylor mean Michelle lives at the intersection of biology and chemistry every day. She unpacks concepts like cellular respiration, acid-base equilibria, and molecular genetics by tying them to how the body actually works — turning dense textbook material into something students can visualize and retain.

Speech-language pathology graduate training at Columbia is surprisingly science-heavy — anatomy, neuroscience, research design — and Sherry brings that clinical lens to teaching students how biological systems work and how experiments should be structured. Her UChicago psychology and linguistics background also means she's comfortable with everything from statistical reasoning to breaking apart dense scientific terminology using morphological roots. Rated 5.0 by students.

Tom's PhD in American Studies involved extensive research methodology — designing studies, evaluating sources for reliability, and building evidence-based arguments — which maps cleanly onto teaching students how to work through hypotheses, control variables, and interpret experimental outcomes. His Latin training also gives him an unusual edge when it comes to unpacking scientific terminology, since so many terms in biology and chemistry trace back to roots he already knows cold. Rated 4.9 by students.

Earning a medical doctorate means Jessica didn't just study science — she lived it across biology, chemistry, physics, and anatomy for years. She teaches scientific concepts by linking them to real processes in the body or the natural world, making abstract ideas like energy transfer or cellular respiration tangible and easier to retain.

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.

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.

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.