Award-Winning Physical Chemistry Tutors
serving Chicago, IL

As an MD/PhD student at Northwestern with a chemistry PhD focus and a B.S. in Chemical Science from Michigan, Austin has gone deep on the thermodynamics and quantum mechanics that form p-chem's backbone — and he's still actively working through advanced coursework in these areas. He tackles derivations by building chemical intuition first, so when a student hits a wall at, say, a Legendre transform connecting internal energy to Gibbs free energy, the math follows naturally from understanding what each variable physically represents.

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.

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.

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.

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.

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.

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.

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.

Biology research through the American Museum of Natural History and pre-med coursework at Cornell gave Krishna hands-on exposure to the thermodynamic and kinetic principles that p-chem formalizes — energy changes in biological systems, reaction rates, equilibrium behavior. She uses that life-science grounding to make topics like Gibbs free energy and rate laws feel like descriptions of real molecular events rather than pure derivation exercises.

I am pursuing a career in dentistry/oral surgery and will be beginning dental school at Boston University this fall. For this reason I recently took the DAT, which I am capable of assisting you with as well. During my undergraduate education, which I completed this past December, I worked in my school's tutoring center, helping my peers succeed in mathematics and science courses. Outside of my academic life, I am a big sports fan and I mostly follow the New York sports teams. For fun, I like to play basketball and golf with my friends. I am looking forward towards getting to know you and helping you with your academic needs.

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.

Thermodynamics, quantum mechanics, and kinetics all collide in physical chemistry, and the math intensity alone can be overwhelming. As a chemistry major at TCU who's worked through p-chem coursework firsthand, Nathan breaks down derivations — partition functions, the Schrödinger equation, phase diagrams — into manageable logical steps. He connects the heavy math back to the physical meaning so equations stop feeling arbitrary.

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.

Between biochemistry, organic chemistry, and physical chemistry, Samantha sits at the intersection where biology meets the math-heavy formalism of thermodynamics and kinetics — she understands both the molecular systems and the derivations that describe them. She breaks apart intimidating topics like Gibbs free energy or chemical equilibria by tying each variable back to the biological and chemical processes students already recognize from earlier coursework. 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.

Cornell's chemical engineering curriculum puts you through p-chem at an intense pace — Rahul graduated magna cum laude, which means he didn't just survive thermodynamics, quantum mechanics, and kinetics but internalized the reasoning behind each derivation. He pushes past rote symbol manipulation to make sure students can articulate why a particular state function applies or what a phase boundary physically represents. Rated 4.9 by students.

Biology coursework builds a surprising amount of p-chem intuition — enzyme kinetics, membrane energetics, and metabolic thermodynamics all run on the same free energy and rate equations that dominate a physical chemistry sequence. Ade uses that biological grounding to make abstract derivations tangible, turning something like a Boltzmann distribution into a concrete picture of how molecules actually partition energy across states.