Award-Winning Physical Chemistry Tutors
serving Orlando, 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.

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.

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.

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.

Thermodynamics, quantum mechanics, kinetics — physical chemistry is where math and chemistry collide, and most students need a tutor comfortable in both languages. Natasha's chemical engineering degree gave her deep fluency with partition functions, phase diagrams, and rate laws, and her MIT graduate work keeps those concepts sharp. She approaches p-chem by deriving key equations alongside students so the physics behind each formula becomes visible.

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 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.

Maurice's teaching background in special education sharpens his ability to break down the layered abstractions in p-chem — when a student is lost inside a Gibbs free energy derivation, he isolates exactly which conceptual step broke down and rebuilds from there. His coursework across calculus, statistics, and chemistry gives him enough quantitative range to walk through the thermodynamic and kinetic formalisms, even if p-chem isn't his deepest specialty.

Decades as a PhD chemical engineer meant Steven was solving Clausius-Clapeyron problems, reaction kinetics models, and energy balance derivations long before they were textbook exercises — they were daily work. He breaks down p-chem's toughest material by explaining a concept one way, re-explaining it from a different angle, then grounding it in a real engineering application where the math actually matters. 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.

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.

Scoring in the 98th percentile on the MCAT required Nishant to internalize the thermodynamic and kinetic reasoning that p-chem makes rigorous — enthalpy diagrams, equilibrium constants, and rate law derivations all showed up under intense time pressure before he encountered them in their full mathematical form as a medical student at Case Western. He teaches a physics TA's instinct for applied problem-solving to the calculus-dense material, breaking a topic like a Maxwell relation or a phase diagram into the physical question it's actually answering.

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.