Award-Winning Physical Chemistry Tutors
serving North Las Vegas, NV

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.

Eight years as a chemistry professor at Trinity College meant Maria taught p-chem repeatedly — not just lecturing on thermodynamic state functions and quantum mechanical models, but sitting with students in office hours untangling the specific derivation step where they got lost. That Ph.D.-level command of the subject, combined with a 5.0 rating, reflects someone who knows exactly which Maxwell relation or partition function integral is about to cause trouble and can rework it on the spot.

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.

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.

A physics degree means Eitan spent years inside the quantum mechanics, statistical mechanics, and thermodynamics that p-chem courses formalize on the chemistry side — Schrödinger's equation, Boltzmann statistics, and state functions are native territory rather than new abstractions. He teaches the derivations by clarifying the physical picture each equation encodes, so a student wrestling with a partition function or a Carnot cycle can see the molecular behavior driving every calculus step. Holds a 5.0 rating.

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.

Mechanical engineering at Rice means Aleksey has been solving thermodynamic cycles, heat transfer problems, and differential equations for years — the exact mathematical toolkit that p-chem throws at students in a chemistry wrapper. He breaks down topics like entropy, enthalpy, and phase equilibria by treating them as engineering problems first, then layering in the molecular-level chemistry that gives each variable its meaning. 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.

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.

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.

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.

A PhD in biophysics and a master's in organic chemistry mean Amin has worked through the quantum mechanics, statistical mechanics, and thermodynamics of p-chem from both the physical and molecular sides — deriving partition functions in one course, then applying free energy calculations to real chemical systems in the next. That dual perspective lets him teach a topic like the Boltzmann distribution or a phase diagram by moving fluidly between the mathematical formalism and the chemistry it's actually describing.

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.