A Caltech economics and computer science graduate, Brian brings serious quantitative depth to physics — from Newtonian mechanics and energy conservation through electromagnetism and wave behavior. He teaches students to set up problems systematically, identifying which principles apply before touching a single equation, which is the skill that separates students who understand physics from those who just memorize formulas.

A Stanford computer science and political science student, Margaret went through the Project Lead the Way STEM magnet program, where physics wasn't just a class but a daily toolkit for engineering challenges. She teaches kinematics, force diagrams, and energy conservation by tying each concept to tangible scenarios that make the math feel purposeful.

Kinematics equations and free-body diagrams become far less intimidating once a student learns to read each problem as a physical story rather than a math puzzle. Garrett breaks problems into setup, diagram, and solve phases, teaching students a repeatable framework they can apply from Newton's laws through electromagnetism. His science and math background lets him bridge the conceptual reasoning and the calculations seamlessly.

Engineering is applied physics, so Kate spent years solving the exact kinds of problems — free-body diagrams, energy conservation, circuit analysis — that show up in introductory physics courses. She walks through each problem by identifying what physical principle applies and why, which builds the kind of intuition that makes new problems feel approachable instead of intimidating.

Between a mechanical engineering bachelor's and a PhD program at Rice, Jeffrey has spent years solving statics, dynamics, and thermodynamics problems that most students only encounter in their first physics course. He taught calculus-based physics at Notre Dame and assisted in Differential Equations and Mechanics, so he knows exactly where students lose the thread — especially when multi-step force and energy problems demand both physical reasoning and clean math. Rated 4.9 by students.

Mechanical engineering grad school is essentially applied physics on repeat — Aaron solves statics, dynamics, thermodynamics, and fluid mechanics problems daily, so the concepts in introductory and AP-level courses are second nature rather than something he has to dust off. He's especially sharp at breaking down free-body diagrams and energy conservation setups, connecting the physical picture to the math so students see why an equation applies instead of guessing which one to use. Rated 5.0 by students.

Engineering is applied physics, which means Charles doesn't just remember the formulas for kinematics, energy conservation, or rotational dynamics — he uses them to solve design problems at Yale every week. That practical fluency lets him explain not just how to set up a free-body diagram but why each force matters and what happens when you change a variable. Rated across math and science subjects, he's especially sharp on real-world application problems.

Studying mechanical engineering at Harvard means Christopher doesn't just remember physics — he's actively building on it every semester, from Newtonian mechanics and thermodynamics to electromagnetism and wave behavior. He breaks down complex problems by teaching students to draw clean free-body diagrams, identify which conservation law applies, and translate word problems into solvable equations. That systematic approach turns intimidating multi-step problems into manageable sequences.

Three years of tutoring introductory physics at Washington University gave Justin a sharp sense of where students get stuck — usually at the gap between understanding a concept verbally and translating it into a free-body diagram or equation. His dual bachelor's degrees in physics and math, plus doctoral training in computational methods, let him attack problems from both the physical intuition side and the mathematical machinery side. Rated 5.0 by students.

A PhD in biomedical engineering built on a bachelor's in physics means Andrew has spent years solving problems across mechanics, electromagnetism, and thermodynamics. He teaches physics by emphasizing free-body diagrams, unit analysis, and the habit of translating word problems into mathematical models before reaching for formulas. That systematic approach turns intimidating multi-step problems into manageable sequences.

A Caltech economics and computer science graduate, Brian brings serious quantitative depth to physics — from Newtonian mechanics and energy conservation through electromagnetism and wave behavior. He teaches students to set up problems systematically, identifying which principles apply before touching a single equation, which is the skill that separates students who understand physics from those who just memorize formulas.

A Stanford computer science and political science student, Margaret went through the Project Lead the Way STEM magnet program, where physics wasn't just a class but a daily toolkit for engineering challenges. She teaches kinematics, force diagrams, and energy conservation by tying each concept to tangible scenarios that make the math feel purposeful.

Kinematics equations and free-body diagrams become far less intimidating once a student learns to read each problem as a physical story rather than a math puzzle. Garrett breaks problems into setup, diagram, and solve phases, teaching students a repeatable framework they can apply from Newton's laws through electromagnetism. His science and math background lets him bridge the conceptual reasoning and the calculations seamlessly.

Engineering is applied physics, so Kate spent years solving the exact kinds of problems — free-body diagrams, energy conservation, circuit analysis — that show up in introductory physics courses. She walks through each problem by identifying what physical principle applies and why, which builds the kind of intuition that makes new problems feel approachable instead of intimidating.

Between a mechanical engineering bachelor's and a PhD program at Rice, Jeffrey has spent years solving statics, dynamics, and thermodynamics problems that most students only encounter in their first physics course. He taught calculus-based physics at Notre Dame and assisted in Differential Equations and Mechanics, so he knows exactly where students lose the thread — especially when multi-step force and energy problems demand both physical reasoning and clean math. Rated 4.9 by students.

Mechanical engineering grad school is essentially applied physics on repeat — Aaron solves statics, dynamics, thermodynamics, and fluid mechanics problems daily, so the concepts in introductory and AP-level courses are second nature rather than something he has to dust off. He's especially sharp at breaking down free-body diagrams and energy conservation setups, connecting the physical picture to the math so students see why an equation applies instead of guessing which one to use. Rated 5.0 by students.

Engineering is applied physics, which means Charles doesn't just remember the formulas for kinematics, energy conservation, or rotational dynamics — he uses them to solve design problems at Yale every week. That practical fluency lets him explain not just how to set up a free-body diagram but why each force matters and what happens when you change a variable. Rated across math and science subjects, he's especially sharp on real-world application problems.

Studying mechanical engineering at Harvard means Christopher doesn't just remember physics — he's actively building on it every semester, from Newtonian mechanics and thermodynamics to electromagnetism and wave behavior. He breaks down complex problems by teaching students to draw clean free-body diagrams, identify which conservation law applies, and translate word problems into solvable equations. That systematic approach turns intimidating multi-step problems into manageable sequences.

Three years of tutoring introductory physics at Washington University gave Justin a sharp sense of where students get stuck — usually at the gap between understanding a concept verbally and translating it into a free-body diagram or equation. His dual bachelor's degrees in physics and math, plus doctoral training in computational methods, let him attack problems from both the physical intuition side and the mathematical machinery side. Rated 5.0 by students.

A PhD in biomedical engineering built on a bachelor's in physics means Andrew has spent years solving problems across mechanics, electromagnetism, and thermodynamics. He teaches physics by emphasizing free-body diagrams, unit analysis, and the habit of translating word problems into mathematical models before reaching for formulas. That systematic approach turns intimidating multi-step problems into manageable sequences.