Award-Winning Physical Chemistry Tutors
serving Poughkeepsie, NY

Garrett's biology degree means he already thinks in terms of systems — enzyme kinetics, membrane potentials, metabolic energy flow — which gives him a concrete anchor for the abstract math that makes p-chem so intimidating. He teaches thermodynamic and kinetic concepts by connecting derivations to the biological and chemical phenomena they describe, so something like a Gibbs free energy calculation feels like a tool rather than an exercise in symbol-pushing.

Thermodynamic state functions, quantum mechanical models, and kinetic rate laws all converge in Physical Chemistry, and most students need someone who can bridge the math and the chemistry simultaneously. Abismael's chemical engineering training put him through the full gauntlet — partial differential equations applied to heat transfer, Gibbs free energy calculations for phase equilibria, statistical mechanics. He explains each derivation from multiple angles and tests understanding with problems designed to be harder than what shows up on the exam.

An applied mathematics degree plus active graduate math coursework gives Drisana the calculus fluency that p-chem demands — she's comfortable with the differential equations, multivariable integrals, and linear algebra that show up in everything from quantum mechanical wave functions to statistical thermodynamics. Where many chemistry students struggle because the math outpaces them, she tackles derivations from the opposite direction, building physical meaning onto mathematical structures she already knows cold. Rated 5.0 by students.

I am a public school teacher (Chemistry and Living Environment) but can tutor most sciences. I truly believe in differentiated learning and once I know the learning style of a student, I tailor my teaching style for optimum time usage. I love to utilize stories from my real life experiences in labs to help students understand the implications of their science education.

Computational linguistics might seem far from p-chem, but Justin's SAT-level math chops and his chemistry coursework give him enough quantitative grounding to tackle the foundational concepts — working through state functions, basic thermodynamic relationships, and the algebra behind equilibrium expressions. He's strongest at slowing down the notation-heavy steps that lose students early in a p-chem sequence, making sure each symbol maps to something physically real before moving forward.

A PhD in chemistry means Justin didn't just pass p-chem — he lived in its formalism for years, from quantum mechanical models to statistical thermodynamics, and then kept using it through doctoral research. That depth shows when he teaches: he can trace a concept like chemical potential or a Maxwell relation back to the physical picture driving the math, catching the exact step where a student's understanding breaks down. Rated 5.0 by students.

Before switching to economics at Columbia, Damani was on the pre-med track — which means he's recently sat through the same thermodynamics, kinetics, and calculus-intensive chemistry coursework that p-chem demands, and remembers exactly where the conceptual gaps tend to open up. He approaches topics like enthalpy, equilibrium constants, and rate laws by reconstructing the reasoning behind each equation rather than just presenting the final derivation. Rated 5.0 by students.

Neuroscience at the undergraduate level means Amy has already tangled with the thermodynamics and kinetics that p-chem formalizes — Nernst equation derivations, membrane energetics, and the statistical behavior of ion channels all demand that same calculus-heavy reasoning. She uses those biological touchpoints to make abstract topics like entropy and equilibrium constants feel grounded in systems students can actually picture. Rated 5.0 by students.

Six years of pharmacy doctoral training saturates you in the applied side of p-chem — drug solubility curves governed by thermodynamic principles, pharmacokinetic rate equations, and the free energy calculations behind formulation stability — so Zachary knows these derivations from the inside out. He teaches topics like chemical potential, phase diagrams, and equilibrium constants by tying each one back to the pharmaceutical systems where they actually determine outcomes. Rated 4.9 by students.

A PhD in physics means Muhammed has spent years inside the quantum mechanics, statistical mechanics, and thermodynamics that p-chem courses formalize — solving Schrödinger equations, working through partition functions, and deriving equations of state weren't side topics but the core of his training. He approaches p-chem derivations as a physicist would, emphasizing the physical reasoning behind each mathematical step so that concepts like chemical potential or phase transitions feel like natural consequences rather than memorized formulas.

P-chem is where thermodynamics, quantum mechanics, and kinetics collide, and most students feel overwhelmed by the math intensity alone. Jacob's biochemistry-emphasis BS in Chemistry means he tackled these derivations firsthand — from partition functions to the Schrödinger equation — and he's skilled at unpacking the physical meaning behind each equation so the math stops feeling arbitrary. Rated 5.0 by students.

I am most passionate about biology and chemistry. I am a firm proponent of education, believing it to be absolutely necessary for an improved quality of life, and I try to impart this appreciation to all of my students.

A bio-organic chemistry degree means Alex spent serious time with thermodynamic cycles, kinetics derivations, and the quantum mechanical underpinnings of molecular behavior — the core of any p-chem course. He approaches the subject by tying each derivation back to the organic and biochemical systems students already recognize, so an intimidating equation like the Arrhenius expression becomes a story about why reactions speed up at the molecular level.

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.

Two years as an organic chemistry lab TA at the college level gave Maha hands-on experience with the reaction kinetics and thermodynamic reasoning that form the backbone of any p-chem sequence. Now pursuing graduate work in public health at Johns Hopkins, she approaches topics like equilibrium constants and energy diagrams through the lens of someone who's had to apply them in real experimental settings, not just derive them on paper. Rated 5.0 by students.

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.

Studying chemistry at UT while simultaneously tutoring undergraduates in math, chemistry, and physics gave Joshua a feel for exactly where p-chem's conceptual layers collide — the moment a thermodynamics derivation turns into a calculus problem, or when quantum mechanical notation obscures an otherwise intuitive idea about molecular behavior. He rebuilds those trouble spots by connecting the formalism back to the underlying chemistry, whether the topic is chemical kinetics, phase equilibria, or statistical mechanics.

The calculus buried inside p-chem — partial derivatives in Maxwell relations, integrals across thermodynamic cycles, eigenvalue problems in quantum mechanics — is often what trips students up more than the chemistry itself. Christopher teaches both physics and calculus alongside chemistry, which means he can diagnose whether a student is stuck on the math or the physical concept and tackle the actual bottleneck. That cross-subject fluency makes dense topics like partition functions or enthalpy derivations far more approachable.

I am currently an adjunct professor of chemistry at a small liberal arts college in the Chicago area. Previously, I worked in the chemical industry for several years as a researcher, but I've found that the most satisfying moments have come when I am able to share my expertise with someone else. Similarly, I very much enjoyed the four semesters in the graduate school when I was a teaching assistant. It gave me the opportunity to work with students and help them develop an understanding for the subject. These are the primary reasons that I have decided to go into teaching.

I am currently a graduate student in Chemical Engineering at the University of Delaware. I am working on using magnetic and flow fields to create advanced materials by directing the self-assembly process of nanoparticles . I have tutored students in Chemistry, Physics and Math all throughout undergraduate and graduate work. I truly enjoy breaking material down into its core components that allows the students to understand complicated information.

This is Jacob's home turf. He earned his Ph.D. in Physical Chemistry from UC Berkeley and now conducts research at Northwestern, so topics like quantum mechanics, statistical thermodynamics, and spectroscopy are part of his everyday work. He walks students through the math-heavy derivations that make p-chem notoriously difficult, connecting each equation back to the physical picture it describes.

Kirby's biochemistry degree at Michigan meant grinding through the thermodynamics and kinetics that sit at the heart of p-chem — Gibbs free energy calculations, equilibrium derivations, and the statistical mechanics of molecular systems were baked into her upper-level coursework. She breaks down the calculus-heavy formalism by keeping each variable tied to the chemical reality it represents, so a daunting derivation like a Clausius-Clapeyron equation reads as a description of phase behavior rather than an abstract math exercise. Rated 4.9 by students.