I graduated from the University of Chicago with a PhD in physics in 2011, specializing in experimental particle physics. My background in teaching includes being a teaching assistant (TA) teaching basic 1st year undergraduate physics. However, my expertise involves various fields.
Physics:
My education in physics includes subjects typically taught at an advanced (AP) high school and undergraduate level. These include: classical mechanics, electricity and magnetism, and quantum mechanics.
Mathematics:
Mathematics education includes calculus at the undergraduate level: both single and multi-variate, pre-calculus, trigonometry, and algebra. These subjects are a necessary foundation for physics. For example, the calculus of vector fields is necessary to understand how electric and magnetic fields behave.
Astronomy:
My undergraduate degrees are in both physics and astronomy; I graduate from the University of Maryland (College Park) with degrees in both subjects.
Probability and statistics:
Particle physics research is mostly statistical data analysis. Thus, I am thoroughly versed in statistics topics such as fitting, chi-square testing, and hypothesis testing.
Finance:
After completing my PhD, I worked for two years at a hedge fund in Chicago. Here my work experience was with mostly linear regression and time-series analysis. In addition, I became family with basic options mathematics.
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