Award-Winning Physical Chemistry Tutors
serving Bronx, NY

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.

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.

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.

Studying biochemistry and cell biology at Rice means Sugi already had to internalize the thermodynamic and kinetic principles that drive cellular processes — free energy calculations for metabolic reactions, equilibrium constants governing binding events — before tackling them in their pure mathematical form. She unpacks p-chem derivations by linking each variable back to the molecular behavior it quantifies, turning something like a chemical potential expression into a description of what molecules are actually doing at a phase boundary. Rated 5.0 by students.

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.

Two biomedical engineering degrees mean Allyson has been doing the calculus-heavy thermodynamics and kinetics work that p-chem formalizes — modeling energy transfer in biological systems, working through rate equations for physiological processes — since undergrad. She zeroes in on the specific mathematical step where a derivation goes from followable to opaque, whether that's a tricky partial derivative in a Maxwell relation or the statistical reasoning inside a Boltzmann distribution. Rated 4.9 by students.

Enric holds a PhD in Chemistry, which means p-chem wasn't just a course requirement — it was the foundation his entire research career was built on, from quantum mechanical modeling to thermodynamic analysis at the graduate level. He teaches the subject by slowing down at the exact calculus step where a derivation goes from followable to opaque, rebuilding the physical reasoning behind each manipulation before moving forward. Rated 5.0 by students.

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.

Medical school at the Medical College of Wisconsin means Abrahim encounters p-chem's core concepts daily — reaction kinetics in pharmacology, thermodynamic energy balances in physiology, and the quantum mechanical principles behind spectroscopic diagnostics. His UCLA biology degree and 34 ACT demonstrate the mathematical fluency needed to work through derivations involving state functions, equilibrium constants, and entropy calculations without losing sight of what the chemistry actually describes. Rated 5.0 by students.

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.

A physics degree gives Cory something many p-chem tutors lack — native comfort with the quantum mechanics and statistical mechanics that chemistry students often encounter for the first time in this course. He treats topics like wave functions, partition functions, and thermodynamic state variables as extensions of the physics he already thinks in, then builds the chemical context around them. Rated 4.9 by students.

I enjoy helping students turn challenging chemistry and biology topics into concepts that actually make sense. I'm a dual major student in Chemistry and Molecular Biology & Biochemistry at SFU, with experience across a wide range of science courses. When I tutor, I like to work through problems step by step, explain the reasoning behind them, and adjust my approach to each student. My goal is to help you feel more confident with the material and eventually tackle problems on your own.

Environmental statistics at Rice required Alex to work extensively with the same calculus-heavy quantitative methods — differential equations, statistical modeling, multivariable analysis — that students encounter in thermodynamics and kinetics derivations throughout a p-chem sequence. His geography background adds a surprising edge: understanding energy balances and phase transitions in Earth systems translates directly to making sense of state functions and equilibrium in a chemistry context.