Award-Winning Physical Chemistry Tutors
serving Flint, MI

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.

Pursuing a PhD in Analytical Chemistry at UIUC means Whitney spends her days immersed in the quantitative rigor that makes p-chem so demanding — thermodynamic derivations, kinetic modeling, and the statistical mechanics underlying instrumental techniques. She's currently TAing college-level chemistry courses, which keeps her sharp on exactly where students lose the thread in topics like Gibbs free energy, phase diagrams, and partition functions. That combination of active research and daily teaching gives her a practical read on which derivations need more physical intuition and which just need cleaner math.

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.

Genetics PhD work is surprisingly calculus-intensive — population dynamics, statistical mechanics of molecular interactions, and the thermodynamic stability of nucleic acid structures all demand the same quantitative reasoning that drives p-chem. Nicholas brings that background to topics like free energy calculations and kinetic modeling, where his comfort with both the math and the molecular biology underneath it keeps derivations grounded in actual chemical behavior. Rated 4.8 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.

Differential equations, calculus, and organic chemistry all sit in Nate's regular teaching rotation, which means he's constantly moving between the math and the chemistry that p-chem smashes together — and he knows exactly where students lose the thread between the two. He zeroes in on building intuition around concepts like chemical potential and equilibrium thermodynamics by tying each derivation back to the reaction behavior students already recognize from general and organic chemistry. Rated 5.0 by students.

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.

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.

A PhD in chemical engineering means Alexander spent years deriving and applying the exact thermodynamic frameworks — equations of state, phase equilibria, transport phenomena — that p-chem students encounter stripped of their engineering context. His biosystems engineering background adds a second layer, connecting statistical mechanics and kinetics to real molecular systems rather than leaving them as abstract formalisms. Rated 4.9 by students.

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.

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.

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.