Award-Winning Physical Chemistry Tutors
serving Boston, MA

Biomedical engineering at BU and Tufts meant Anthony lived in the math that makes p-chem intimidating — differential equations, thermodynamic modeling, and the kinetics of biological systems — long before applying it to physical chemistry specifically. His research background studying neurodegenerative disease therapies keeps him fluent in the quantitative reasoning behind concepts like Gibbs free energy, phase equilibria, and reaction rate theory. Rated 4.9 by students, he connects each derivation to the physical system it describes so the notation carries real meaning.

Thermodynamics, quantum mechanics, kinetics — physical chemistry is where math and chemistry collide, and most students need a tutor comfortable in both languages. Natasha's chemical engineering degree gave her deep fluency with partition functions, phase diagrams, and rate laws, and her MIT graduate work keeps those concepts sharp. She approaches p-chem by deriving key equations alongside students so the physics behind each formula becomes visible.

Medical school at Tufts demands fluency in the thermodynamics and kinetics that p-chem students dread — Eric works through Gibbs free energy calculations, entropy-driven processes, and rate equations daily in a clinical science context, which keeps the material grounded rather than purely abstract. His economics background also sharpens the kind of quantitative modeling and equilibrium thinking that translates surprisingly well to topics like chemical potential and phase diagrams.

Biochemistry lab work and a dual bachelor's in arts and biochemistry mean Andrew has already applied the thermodynamics, kinetics, and quantum mechanical concepts that make p-chem brutal — calculating free energy changes in enzyme systems, modeling reaction rates at the molecular level. He unpacks the heavy calculus in derivations by keeping one foot in the real chemistry, so a partition function or a phase diagram reads as a description of molecular behavior rather than an exercise in pure math. Rated 4.9 by students.

Two chemistry degrees — bachelor's and master's — mean Chad has gone through the full p-chem gauntlet himself, from quantum mechanical models and statistical thermodynamics to the calculus-dense derivations of chemical kinetics. He teaches the subject by zeroing in on where the math and the molecular picture disconnect for each student, whether that's a tricky partial derivative in a thermodynamic identity or the logic behind a partition function. Rated 4.8 by students.

Pursuing a dual Ph.D./Pharm.D. at UConn with graduate work in medicinal chemistry means Xhesika encounters the thermodynamic and kinetic formalism of p-chem as daily working tools — calculating drug stability, modeling reaction pathways, predicting how molecular interactions shift with temperature and pressure. She teaches derivations like Maxwell relations and Clausius-Clapeyron by tying each variable back to the pharmacological systems where she actually uses them, so the math carries chemical weight instead of feeling like abstract symbol-pushing.

Katherine's broad math and science background — spanning calculus, thermodynamics, and physics — means she's comfortable with the multivariable calculus and differential equations that make p-chem derivations so dense. She takes apart concepts like Maxwell relations and chemical potential by slowing down at the exact algebraic step where the physical intuition tends to disappear. Rated 5.0 by students.

Having studied quantum mechanics and electromagnetism as part of his physics degree, Michael already speaks the mathematical language that makes p-chem so demanding — the wave equations, the statistical distributions, the calculus buried inside every thermodynamic derivation. He teaches from the physics side in, explaining why a Boltzmann distribution or a partition function behaves the way it does before layering on the chemical context that gives it practical meaning.

I graduated from Saint Louis University with a Bachelor of Science Degree in Biology. Since then, I took the DAT exam and received a very high score, which allowed me to secure interviews from multiple Dental Schools across the country. I'm ready and willing to share the studying skills I acquired during my academic career to make my students' lives easier and achieve success. I was a biology and chemistry tutor at St. Louis Community College, where I led both group study sessions and 1-on-1 tutoring sessions. Every student on this campus had different learning styles and academic backgrounds. Therefore, I adapted my teaching styles to suit each student and make the sessions as efficient as possible. I also have experience tutoring children, including those with learning disabilities. I enjoy tutoring science the most. I love seeing the twinkle in the eye when my students have an "Aha" moment after understanding a new concept, which is which I love my job as a tutor. During my free time, I go to community services, watch soccer, and play guitar.

I grew up in the Boston area and now live in Citrus County, Florida. I graduated from MIT in chemical engineering and worked for many years as a chemical process engineer, so I have a strong background in math and science, especially chemistry and thermodynamics. I've also been granted six U.S. patents. When the pandemic hit us, I moved to Florida and did part-time work as a chess tutor, then became a substitute teacher in the middle and high schools in our district. I enjoyed working with the students, many of whom had difficulty learning in big classes with many disruptions. I found that I could best help these students by using real-world examples to teach difficult concepts in a new way. Often, then, the student would come away with a new perspective and a much better understanding of the concept. I was happy to be able to help. These days as a VT tutor, I continue to use, whenever possible, real-world examples in my own material in chemistry and thermodynamics.

Nicholas studied biology with enough chemistry and physics depth to encounter the thermodynamic and kinetic frameworks that p-chem builds on — enzyme energetics, gas laws, equilibrium — before they get buried under pages of calculus. His 33 ACT reflects strong quantitative reasoning, and he leans on that cross-disciplinary perspective to clarify why a concept like enthalpy or a phase transition behaves the way it does at the molecular level, not just how to push through the derivation.

Conservation biology at ASU gave River a working familiarity with the thermodynamic and kinetic principles that p-chem puts under a mathematical microscope — energy flows in ecosystems, reaction energetics in biochemical cycles, and the statistical behavior of molecular populations. That biology-first perspective lets River approach topics like Gibbs free energy and equilibrium constants by starting with the physical intuition before wading into the calculus. Rated 4.8 by students.

Thermodynamics, kinetics, and quantum mechanics all converge in physical chemistry — and that's exactly where Monika's biochemistry and molecular biology training intersects. She breaks down intimidating topics like Gibbs free energy calculations and reaction rate laws by tying them to real chemical systems she studied during her PhD research. Rated 4.8 by students.

A PhD in biophysical chemistry means Tom didn't just survive p-chem — he built a research career on it, working at the intersection of thermodynamics, quantum mechanics, and molecular behavior where the math has to be airtight. He treats the subject like a language students need to actively speak: drilling derivations and problem sets until manipulating a Maxwell relation or setting up a partition function becomes fluent rather than formulaic.

Thermodynamic potentials, quantum mechanical models, kinetic rate laws — physical chemistry demands comfort with both rigorous math and chemical intuition simultaneously. Mark's chemical engineering degree from Yale required multiple semesters of p-chem coursework, and he tackles the subject by grounding intimidating derivations in the physical phenomena they describe. He's especially strong at walking through the calculus embedded in topics like entropy and partition functions.