I was a postdoctoral fellow in particle/nuclear physics at the California Institute of Technology for three years, after which I became a research scientist in astrophysics at NASA?s Jet Propulsion Laboratory where I studied the early universe and dark matter for 12 years. During my PhD, I spent two years as a volunteer physics teacher at Chancellor College in the country of Malawi, where I taught electromagnetism and classical mechanics. My teaching style is a mixture of a) discussions that... [more]
As a researcher (NASA, Caltech, Jefferson Lab), I have used calculus throughout my professional life. I can reveal the meaning behind the method, and teach you how to solve apparently daunting calculus problems.
I have taught physics to students of various backgrounds and preparation levels. After 12 years as a research scientist at NASA's Jet Propulsion Laboratory (astrophysics/dark matter), 3 years as a postdoctoral fellow at Caltech (nuclear/particle physics), and 2 years as a postdoctoral fellow at Thomas Jefferson National Accelerator Facility (nuclear/particle physics), I have developed a deep, intuitive and mathematical understanding of physics that I enjoy sharing with my students.
I aced all my statistics courses as an undergrad and graduate student. As a NASA researcher at the Jet Propulsion Laboratory, I spent the last ten years simulating and analyzing astrophysical data using statistical methods.
As a researcher (NASA, Caltech, Jefferson Lab), solving differential equations analytically or numerically is part of what I do on a daily basis. I taught students how to solve differential equations and I can help you become proficient in the subject.
The physical sciences are more about questions than answers. As a physicist (NASA, Caltech, Jefferson Lab) who enjoys teaching, I can communicate in simple terms, with examples, the meaning behind the formulas as well as show you how to solve physical science problems.
As a researcher (NASA, Caltech, Jefferson Lab), I have solved a lot of linear algebra problems, numerically and analytically, and I can explain the why (e.g., why is linear algebra useful), the what (e.g., what is a null space) and the how (e.g., how do I solve this matrix problem).