John L

As a Graduate Student Instructor at the University of Michigan, I instructed over 150 students in 2 semesters. There I was responsible for leading weekly lab discussions and project presentations. Several students asked me to write them reference letters for admission in jobs and grad schools.

As a Machine Learning Research Assistant at the University of Michigan, I was tasked to propose statistical learnings algorithms for predicting rare events such as a solar eclipse and a major insurance loss. I have presented these solutions to industry leaders, and even at high school talks.

As a Quantitative Financial Researcher, I am regularly trained to communicate high-level risk, business, and investing concepts to the client pool ranging from housewives to veterans. In the past, I have backtested the financial theories on behalf of personal and company accounts.

I turned to specialize in Economic Education during my Master's study at the University of Michigan. There I mentored over 50 Economic students to conduct Quantitive Experiments and Academic Writing on topics such as Gross Domestic Product (GDP) and Game Theory.

I was an SAT/ACT Mathematics tutor for 11th-12th grade high school students during my undergraduate studies. After that, I started tutoring more advanced math topics such as calculus and probability to early undergraduates. Currently, I mentor math students in both coursework and research tracks.