Award-Winning Science Tutors
serving Albany, NY

Clare's biopsychology degree means she studied science at the intersection of biology and behavior — learning how neurons fire, how hormones shape physiology, and how controlled experiments tease apart biological variables. That training makes her especially effective at teaching life science topics like body systems, genetics, and experimental design. Rated 5.0 by students, she breaks down scientific vocabulary and processes into language that actually sticks.

Esteban approaches science the way he approaches fieldwork in anthropology: observation first, then questions, then building an explanation from evidence. For younger students tackling topics like ecosystems, the water cycle, or basic forces, that method turns memorization-heavy material into something investigative. His cross-cultural teaching background also means he's skilled at finding real-world examples that make abstract concepts tangible.

Between AP Physics C and a double-track in finance and mathematics at Boston College's honors program, Andrew has spent more time with formulas, data, and quantitative reasoning than most science tutors — and his 32 ACT confirms the cross-disciplinary range. He's strongest on the physical science side, breaking down force diagrams, energy calculations, and unit analysis with the directness of someone who actually enjoys the math embedded in science problems.

David's history education degree means he spent years teaching students how to weigh evidence, trace cause and effect, and build arguments from primary sources — skills that overlap heavily with how science asks students to interpret data and explain experimental outcomes. He's strongest when the task involves reading dense material carefully and pulling out what matters, which makes him a solid fit for the comprehension-heavy side of science coursework.

Elementary science lives and dies on whether a student can actually observe, describe, and ask questions about what's happening in front of them — and Jennifer's social sciences training built exactly those skills through research methods and structured observation. She's taught 1st through 5th grade math and science extensively, so she knows how to walk a seven-year-old through recording measurements or explaining why a plant grew taller near the window. Rated 4.9 by students.

Teaching remedial reading across elementary, middle, and high school levels gave Arielle a deep understanding of how students process nonfiction text — a skill that matters enormously in science, where comprehending a passage about ecosystems or the water cycle often determines whether a student can answer the questions that follow. She zeroes in on helping students pull key information from diagrams, charts, and dense explanatory paragraphs, turning the reading-heavy side of science into something manageable rather than overwhelming.

Mimi's Masters in Education from Harvard focused on inquiry-based and object-based learning — an approach that turns science into something students can observe, question, and test rather than just read about in a textbook. Her integrated arts background means she often teaches concepts like ecosystems or states of matter through hands-on exploration and visual models, which tends to stick with students who struggle to learn from lectures alone. She's especially strong with younger and middle school learners building their first real science habits.

A neurobiology-focused biology degree from Northwestern means Nina didn't just take introductory science — she studied cellular mechanisms, genetics, and brain physiology in depth. She connects textbook concepts like mitosis or enzyme kinetics to real research contexts, which tends to make the material click faster than rote memorization. Rated 5.0 by students.

Reid treats science as a way of thinking rather than a collection of facts to memorize. He walks students through how to read data tables, design controlled experiments, and connect observations to underlying principles — the same analytical habits that show up across biology, chemistry, and earth science courses.

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.

Running a tutoring program at a charter middle school meant Liz wasn't just teaching science content — she was figuring out how to make vocabulary-heavy units on cells, ecosystems, and states of matter land for students with dyslexia, ADHD, and other learning differences. Her special education master's gave her a toolkit of concrete strategies for breaking down dense nonfiction text and multi-step processes, which is where most science students actually get stuck. She holds a 4.7 rating across her subjects.

A PhD in Computational Mathematics from the University of Chicago means Justin doesn't just know science — he understands the quantitative reasoning that ties physics, chemistry, and earth science together. He breaks down concepts like energy conservation, wave behavior, and data analysis by connecting them to real-world phenomena, from climate modeling to how lenses form images. Rated 5.0 by students.

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.

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.

A chemistry major headed to Columbia Medical School, James treats science tutoring as an exercise in building intuition — understanding why a reaction proceeds a certain way or how energy flows through a biological system, not just memorizing diagrams. He's especially sharp at bridging the gap between introductory courses and the more rigorous thinking that AP or IB-level science demands.

Chemistry is Sung's home discipline, which means he teaches science the way a working scientist thinks about it: grounding every concept in evidence, units, and careful reasoning. Whether a student is balancing equations, interpreting lab data, or connecting molecular structure to physical properties, Sung ties abstract ideas back to observable, concrete examples.

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.

Electrical engineering at Stanford required Jai to live inside physics and applied science — circuit analysis, electromagnetic theory, thermodynamics, and the math that ties them together. He approaches science tutoring by anchoring each concept to a physical intuition or real-world example before introducing the equations. Students studying for AP Physics, chemistry, or general science courses get someone who genuinely thinks in scientific terms daily.

Journalism is fundamentally about investigation — gathering evidence, verifying claims, and explaining complex topics to a general audience — and Meghan applies that same discipline when walking students through scientific concepts like experimental design and data interpretation. Her Northwestern training emphasized rigorous sourcing and logical structure, which translates naturally to teaching students how to read a graph, evaluate a hypothesis, or write up lab results that actually say something clear. Rated 5.0 by students.

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.

Having earned a 1560 SAT — which requires sharp data interpretation and evidence-based reasoning across both sections — Sash can walk students through the analytical side of science that often trips them up: reading graphs, evaluating experimental setups, and explaining results in precise language. Her comparative literature training at Princeton also means she's unusually good at helping students decode dense scientific texts and write clear, well-structured lab reports.

Scoring in the 99th percentile on the MCAT required Josef to master science across disciplines — biology, chemistry, physics, and biochemistry — and he brings that integrated perspective to every session. Rather than treating each science topic as isolated, he connects ideas like energy transfer in physics to metabolic pathways in biology, showing students how the same principles reappear across fields.

Studying Mechanical and Aerospace Engineering at Princeton means Matthew lives in physics, thermodynamics, and applied chemistry daily — subjects that map directly onto high school science curricula. He breaks down concepts like force diagrams, energy conservation, and kinematics using step-by-step problem solving, then builds complexity so students internalize the reasoning rather than just the formulas.

A Yale education heavy on critical reading and analytical writing gave Maya the tools to tackle science from the comprehension side — parsing dense passages, extracting key claims from lab descriptions, and explaining results in clear, organized language. She's particularly useful for students who understand the concepts but freeze when asked to write up an experiment or interpret what a data table is actually saying. Holds a 5.0 rating.

Three separate science degrees mean Zosia doesn't just know chemistry or biology in isolation — she understands how energy transfer in physics explains chemical bonding, which in turn drives cellular processes. That cross-disciplinary perspective is exactly what makes her effective at teaching foundational science concepts like the scientific method, experimental design, and data interpretation. She builds each session around the specific science course and topics a student is wrestling with.

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.

Biology, chemistry, physics, and physiology all live under one roof in Garrett's teaching repertoire, which means he can trace a concept like energy transfer from a physics equation through a chemical reaction and into a biological system. That cross-disciplinary perspective is exactly what students need when science courses start connecting dots between fields. His biology degree anchors the content knowledge, while his broad coursework keeps explanations flexible.

A year as a course assistant in Harvard's math department gave Richard practice breaking down quantitative concepts for undergrads — the same skill that makes him effective at teaching the measurement, graphing, and data-analysis components of science coursework. His 36 ACT composite, which includes a perfect Science section score, confirms he can handle the evidence-based reasoning and experimental interpretation the subject demands.

Vivian's history degree trains exactly the kind of evidence evaluation that science coursework demands — weighing sources, identifying cause and effect, and building arguments from data rather than gut feeling. She applies that analytical framework to teaching students how to interpret experimental results, trace variables through a procedure, and explain their reasoning clearly in lab write-ups. Her 4.9 rating suggests the approach lands.

Julia's academic research experience gives her a feel for how science actually operates: forming hypotheses, interpreting data, and revising conclusions when the evidence shifts. She applies that same iterative thinking when walking younger students through topics like forces, ecosystems, or the scientific method, making sure they understand the reasoning behind each answer.

While science isn't Nicholas's primary specialty, his analytical training in linguistics — parsing complex systems, identifying patterns, forming hypotheses — transfers directly to scientific reasoning. He's particularly effective at teaching students how to read data, interpret experimental results, and write clear lab reports.

Biology is Judah's home turf — he's pursuing it as his major at WashU with plans for medical school — but his science tutoring extends to the foundational chemistry and physics concepts that overlap with introductory bio courses. He unpacks processes like cellular respiration or Mendelian genetics by connecting each step to a concrete, visual model rather than leaving students to memorize disconnected facts.

Finance majors spend more time on data than most people realize — regression analysis, forecasting models, interpreting charts — and Vansh brings that same quantitative lens to science topics like measurement, graphing relationships, and drawing conclusions from experimental data. He's especially good at walking students through the logic of hypothesis testing, since his coursework treated every business decision as a claim that needed evidence behind it. Rated 4.8 by students.

Studying economics at UChicago means Brian spends most of his time doing what science courses ask students to do — building models, testing predictions against data, and revising explanations when the evidence doesn't cooperate. That training in quantitative reasoning carries over naturally when he tackles topics like experimental design, graphing relationships between variables, or interpreting results in a lab report. His 1560 SAT confirms he's comfortable with both the analytical and reading-comprehension sides of science material.

While science isn't MaryAnn's primary specialty, her analytical training in psychology and her strong reading skills make her well-suited for the parts of science coursework students often struggle with most: interpreting data tables, understanding experimental design, and writing lab reports. She brings a structured, methodical approach to breaking down scientific texts and vocabulary.

While science isn't her core subject area, Michelle's strength is in reading comprehension and analytical thinking — skills that matter enormously when students are interpreting lab data, understanding textbook passages, or answering science questions on standardized tests. Her study-skills toolkit and structured approach to breaking down unfamiliar material translate well to elementary and middle school science concepts.

Noah earned a 34 ACT, which included the Science section's rapid-fire data interpretation — reading conflicting viewpoints, extracting trends from dense graphs, and evaluating experimental designs under time pressure. His Penn education in political science also trained him to weigh competing evidence and build structured arguments, a habit he carries into teaching students how to reason through scientific claims rather than just recall definitions.

A Harvard-trained neurobiologist who now works as a scientist at a healthcare startup, Emma teaches science the way she practices it — by asking questions, designing logical approaches, and interpreting data critically. Whether a student is wrestling with cell biology, chemistry fundamentals, or experimental design, she draws on daily lab experience to make abstract concepts tangible.

A Stanford Human Biology degree with a bioinformatics concentration means Matthew has lived in the overlap of biology, chemistry, and data science. He unpacks scientific concepts top-down — starting with the big question a topic answers before diving into mechanisms and details. That approach is particularly effective for students who struggle when science courses feel like disconnected facts.

Noah's philosophy training built the exact logical scaffolding science demands — constructing arguments from premises, identifying flaws in reasoning, and distinguishing what evidence actually proves from what it merely suggests. He applies that same rigor to teaching students how to evaluate hypotheses, trace cause-and-effect in experimental setups, and articulate conclusions that go beyond restating observations. His 1540 SAT confirms he handles data interpretation and evidence-based reasoning at a high level.