Award-Winning Physical Chemistry Tutors
serving Hialeah, FL

I grew up in the Boston area and now live in Citrus County, Florida. I graduated from MIT in chemical engineering and worked for many years as a chemical process engineer, so I have a strong background in math and science, especially chemistry and thermodynamics. I've also been granted six U.S. patents. When the pandemic hit us, I moved to Florida and did part-time work as a chess tutor, then became a substitute teacher in the middle and high schools in our district. I enjoyed working with the students, many of whom had difficulty learning in big classes with many disruptions. I found that I could best help these students by using real-world examples to teach difficult concepts in a new way. Often, then, the student would come away with a new perspective and a much better understanding of the concept. I was happy to be able to help. These days as a VT tutor, I continue to use, whenever possible, real-world examples in my own material in chemistry and thermodynamics.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 chemistry B.S. means Edward didn't just pass p-chem — he built his degree around it, working through the thermodynamic derivations, quantum mechanical models, and kinetics frameworks that the course demands at full rigor. That direct grounding in the subject lets him zero in on where a student's understanding breaks, whether it's a shaky grasp of partial derivatives in a Maxwell relation or confusion about what a wave function actually represents. Rated 5.0 by students.