Award-Winning Physical Chemistry Tutors
serving Tampa, 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.

Pursuing a dual Ph.D./Pharm.D. at UConn with graduate work in medicinal chemistry means Xhesika encounters the thermodynamic and kinetic formalism of p-chem as daily working tools — calculating drug stability, modeling reaction pathways, predicting how molecular interactions shift with temperature and pressure. She teaches derivations like Maxwell relations and Clausius-Clapeyron by tying each variable back to the pharmacological systems where she actually uses them, so the math carries chemical weight instead of feeling like abstract symbol-pushing.

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.

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.

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.

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.

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 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.

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.

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.

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.

Two chemistry degrees — bachelor's and master's — mean Chad has gone through the full p-chem gauntlet himself, from quantum mechanical models and statistical thermodynamics to the calculus-dense derivations of chemical kinetics. He teaches the subject by zeroing in on where the math and the molecular picture disconnect for each student, whether that's a tricky partial derivative in a thermodynamic identity or the logic behind a partition function. Rated 4.8 by students.