Award-Winning Science Tutors
serving Arlington, TX

Jack's strongest science background is in physics — he tutors topics like kinematics, forces, energy, and circuits for middle and high school students. His math-heavy coursework at the University of Chicago means he's comfortable showing students how to set up equations from word problems and interpret what the numbers actually mean in a physical context.

Shauna's IT background means she's comfortable with the systematic, logical thinking that underpins good science — forming hypotheses, isolating variables, and troubleshooting when results don't match expectations. She's especially effective at teaching students how to approach lab work and scientific problem-solving the same way a programmer debugs code: step by step, testing one thing at a time. Rated 4.8 by students.

The trickiest part of general science for most students isn't the content — it's learning to read a diagram, interpret an experiment, or connect cause and effect across systems. Taylor breaks down skills like data analysis, hypothesis testing, and scientific vocabulary so students can tackle biology, earth science, or physical science units with more confidence. He approaches science as a reading-and-reasoning challenge, which pairs well with his strengths in English and writing.

Being a pre-med student at UT Dallas means Maria is neck-deep in biology, chemistry, and lab work every week, so the science she teaches is material she's actively using. She connects textbook concepts — cell processes, chemical reactions, energy transfer — to concrete examples that make them easier to recall on exams. Her 5.0 rating speaks to how well that approach lands with students.

Information systems coursework — database design, data modeling, statistical analysis — is essentially applied scientific thinking dressed in a tech stack, and Akshay draws on that training when teaching students to interpret data tables, identify patterns, and trace cause-and-effect in experimental setups. His Python skills also come in handy for students encountering data-driven science assignments where organizing and analyzing raw numbers is half the challenge.

A pre-med public health major, Amanda has spent serious time with both biology and chemistry and knows how to connect classroom science to real-world applications like disease transmission or chemical reactions in the body. She breaks down dense vocabulary and abstract concepts using memorable shorthand that keeps students from blanking during exams.

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.

Biochemistry, cell biology, neuroscience, physical chemistry — Sugi didn't just take these courses, she built a medical career on top of them. When a student struggles with something like cellular respiration or chemical equilibrium, she connects the textbook version to the larger story of why that process matters, which turns rote memorization into genuine understanding.

A molecular, cellular, and developmental biology degree plus an MD in progress at Stanford means Maggie doesn't just know science content — she thinks like a scientist. Whether a student needs to untangle Newton's third law in physics or trace electron transport in biology, she connects abstract diagrams to concrete reasoning so the logic sticks beyond the test.

A biomedical engineering major doesn't just study science — they live at the intersection of physics, chemistry, and biology every day. Bidyut uses that cross-disciplinary perspective to explain concepts like energy conservation or chemical bonding by showing how they appear in real systems, from circuit design to cellular processes. He holds a 5.0 rating across his students.

As a Human Biology major at Stanford with a concentration in health policy, Jake lives at the intersection of biology, chemistry, and data analysis every day. He teaches scientific concepts by grounding them in real-world applications — how cells respond to environmental changes, why energy flows through ecosystems the way it does — so the material actually sticks.

A Human Biology degree and graduate coursework in development give Jonathan unusual range across the sciences — he can walk through cellular respiration one session and explain acid-base equilibria the next without switching tutors. He connects topics across disciplines, showing how the chemistry behind enzyme kinetics feeds directly into the biology of metabolic pathways.

Studying biology with a concentration in health and human disease at Northwestern gives Mackenzie a working scientist's perspective on topics like cell biology, genetics, and experimental design. She's also comfortable with physics and chemistry through her IB-level teaching experience, so she can connect concepts across scientific disciplines the way real research does. Students get someone who genuinely finds this material fascinating, not just teachable.

Tutoring middle schoolers through InspireSTL meant Elena fielded whatever subject walked through the door — including impromptu lessons on biology and experimental design — which built the kind of flexible, on-the-spot science teaching that textbook training alone doesn't provide. Her art history research also sharpens a skill students underestimate in science: reading visual information carefully, whether it's a Byzantine mosaic or a data table showing plant growth under different conditions.

Studying biosciences on the premed track at Rice University, Jessy brings real lab-course knowledge to topics like cell biology, genetics, and ecological systems. She breaks down scientific reasoning — forming hypotheses, interpreting data, connecting cause and effect — in ways that make the subject click rather than feel like a list of vocabulary terms. Rated 5.0 by students.

Applied mathematics at Rice means Alexander spends most of his time building models and solving problems — skills that translate naturally when a science student needs to work through dimensional analysis, interpret a velocity-time graph, or figure out why their chemistry calculations keep coming out wrong. His MATLAB and Python experience also means he can teach students to visualize and manipulate scientific data computationally, not just on paper.

Paul's economics degree built fluency in the core toolkit science courses also demand — reading graphs, isolating variables, and figuring out whether the data actually supports the conclusion or just looks like it does. He leans on that quantitative training to walk students through experimental design and data interpretation, treating every lab question like a mini argument that needs evidence. His 34 ACT confirms he can handle the analytical rigor across disciplines.

Studying neuroscience on the premed track at Rice means Aditi lives inside scientific thinking every day — forming hypotheses, interpreting data, connecting cause and effect across biological systems. She brings that same inquiry-driven approach to younger students, whether they're learning about ecosystems, the water cycle, or basic chemistry. Her goal is to make science feel like detective work, not a list of vocabulary to memorize.

With degrees that include environmental science, Patricia brings real-world context to science tutoring — connecting textbook concepts in biology, chemistry, and earth science to systems students can actually observe. She's particularly strong at teaching students to read data tables, interpret graphs, and design basic experiments, which are skills that show up across every science class. Her approach makes abstract processes like the water cycle or cellular respiration concrete and visual.

Coding in Python actually builds the same mental muscles science demands — isolating variables, testing predictions systematically, and figuring out why something didn't work the way you expected. Meagen's computer science coursework at Carleton gives her a hands-on feel for that debugging-style thinking, which she applies to walking students through experimental design, data interpretation, and writing up conclusions that go beyond restating results. Her 5.0 rating suggests the approach lands.

Game theory — which Carter taught to advanced middle schoolers at a Johns Hopkins CTY program in Hong Kong — is applied science at its core: building models, testing predictions, and revising strategies based on outcomes. That experience, combined with an economics degree from Brown that included applied math coursework, means he's comfortable walking students through hypothesis testing, data interpretation, and the quantitative reasoning that underpins science at every level. Rated 5.0 by students.

Studying biosciences on the pre-med track at Rice, Tegan lives inside scientific thinking every day — designing experiments, interpreting data, and connecting molecular processes to real-world outcomes. She unpacks concepts in biology, chemistry, and general science by grounding abstract ideas in concrete examples students can actually visualize. That approach makes dense material far more manageable.

Cognitive studies at Vanderbilt is essentially the science of how people think — covering neuroscience, experimental design, and data-driven research methods — so Vy brings real lab-adjacent training to topics like the nervous system, hypothesis testing, and interpreting results. Her 35 ACT confirms she can handle the quantitative and reading-heavy demands of science material, and her approach leans on making students articulate the reasoning behind an answer rather than just circling it.

A cognitive science degree sits at the intersection of biology, psychology, and neuroscience, which gives Adam a genuine cross-disciplinary science background rather than expertise in just one narrow area. He breaks down concepts like the scientific method, experimental design, and biological systems by connecting them to real-world examples — how the brain processes information, how cells communicate, why certain variables matter in an experiment.

Studying computer science and math at Rice University means William spends most of his time doing what science courses ask students to do — building models, testing them against data, and figuring out why something broke when the results don't match expectations. His physics background adds a concrete physical-science dimension to that analytical toolkit, so he can walk students through everything from interpreting graphs to understanding how energy and forces actually behave in an experiment.

A comparative literature degree might not scream 'science tutor,' but Chloe's Linguistics minor trained her to dissect systems — breaking language into morphemes and syntax trees uses the same pattern-recognition that classifying organisms or tracing chemical reactions demands. She's particularly handy when students need to decode dense scientific vocabulary, since someone who studied word roots across multiple languages can demystify terms like 'endothermic' or 'photosynthesis' on sight. Her 5.0 rating suggests the cross-disciplinary approach clicks.

Studying biophysics at Rice means Aadith lives at the intersection of biology, chemistry, and physics every day — so he can show students how a concept like energy conservation appears across all three disciplines. He unpacks scientific reasoning step by step, emphasizing how to set up problems and interpret results rather than just plugging into formulas.

Rishi's computer science and math training at Rice gives him a structured way of breaking down science problems — whether it's interpreting data tables, working through unit conversions, or applying formulas in physics and chemistry contexts. As a student-athlete on Rice's golf team, he also knows how to make study sessions efficient so concepts stick the first time around.

A biochemistry and molecular biology major on the pre-med track, Sajel lives in the sciences daily — organic reaction mechanisms, cell signaling pathways, experimental design. She connects abstract concepts to real examples from her coursework, which makes topics like energy transfer or molecular structure click faster than rereading a textbook chapter.

A PhD in physics, combined coursework spanning biology and engineering, and hands-on research experience give Zhengdong unusually broad scientific fluency. Whether a student is puzzling over cell biology, force diagrams, or chemical reactions, he connects each topic back to core scientific reasoning — forming hypotheses, interpreting data, and distinguishing correlation from causation.

A biochemistry and molecular biology degree means Sanjay spent years in the overlap between biology, chemistry, and physics — exactly the territory general science courses cover. He's especially strong on cell biology, basic chemistry concepts like bonding and reactions, and the life sciences topics that show up from middle school through introductory college courses. He explains scientific processes by connecting them to real examples from his medical training, which makes abstract concepts like osmosis or enzyme kinetics click faster.

I am an Atlanta native. I hold an undergraduate degree in Business from Tennessee State University and graduated degree in Education from Cambridge College. I am a Georgia and Texas certified teacher. I have always enjoyed working with kids. I have taught kindergarten, first, second and fourth grade. I am a hard-worker, team player and passionate about my students succeeding in whatever they set their minds too. I currently hold endorsements in K-5 Mathematics, Teacher Support Specialist, and ESOL (English for Speakers of Other Languages). I am able to provide instruction that meets the needs of all students. I have the ability to differentiate instruction so that I cater to all learning styles and levels.

Sakibul's chemistry degree and two semesters as an Organic Chemistry TA give him a rare depth for science tutoring — he can walk through reaction mechanisms, stoichiometry, and lab reasoning with the confidence of someone who's taught it in a university setting. He connects scientific concepts to their underlying math, which often makes the "why" behind formulas and equations much clearer.

Vinson's strongest science background is in physics, where his AP Physics C experience connects directly to the force diagrams, energy conservation problems, and kinematics that most students encounter in general science courses. His math fluency means he can untangle the quantitative side of science without skipping steps.

Iselee tackles science by turning abstract concepts into something students can visualize — whether that's sketching the water cycle, diagramming a simple circuit, or mapping out how ecosystems connect. Her art and design background gives her a toolkit most science tutors lack, making lessons more memorable for visual and hands-on learners.

Liz treats science as a subject where reading comprehension matters just as much as content knowledge — interpreting data tables, understanding experimental design, and pulling conclusions from results. Her 32 ACT composite reflects the same analytical thinking she brings to breaking down biology and physical science concepts.

While Eric's primary expertise is in economics and math, his quantitative background makes him a strong fit for science students who struggle with the computational side — unit conversions, interpreting graphs, and setting up equations from word problems. He treats science problem-solving as a structured process: identify what you know, figure out what's missing, and pick the right formula to connect them.

AP Biology and AP Chemistry aren't just lines on Kendall's subject list — they represent genuine depth in life and physical sciences, which means her science tutoring is grounded in actual content knowledge rather than general study strategies. She's particularly strong at walking students through classification systems, chemical reactions, and experimental design, connecting each topic back to the underlying logic so the material organizes itself in a student's memory. Her 4.9 rating suggests that approach resonates.

Kenan's mathematical economics training means he's spent serious time with data modeling, statistical analysis, and quantitative problem-solving — skills that translate naturally to the measurement, graphing, and hypothesis-testing components of science coursework. He's especially useful when students need to make sense of numerical relationships in experiments, like calculating rates, interpreting proportional data, or figuring out what a graph is actually telling them.

Studying neuroscience with a biochemistry minor at Rice means Brett lives in the overlap of biology, chemistry, and data analysis every day. He unpacks concepts like cell structure, chemical reactions, and experimental design by connecting them to real research examples rather than treating each chapter as an isolated set of facts to memorize.