I graduated from Colgate University in the tiny town of Hamilton, New York. A town where it takes less than 45 minutes to walk from one side to the next. Where you regularly see a horse and buggy cruising through the bountiful farmland. Hamilton was a stark difference between my home in Los Angeles (the McDonald's was not 24 hours...).
The small community feel was very charming and I will always miss the limited, but tasty selection of small restaurants and exploring upstate New York with my close friends. Forced to stay inside for almost all of my time on campus due to the nostril-hair-freezing-cold , I spent my time bundled up inside studying my major Economics and my minor Computer Science while being a part of Theta Chi Fraternity. I got to expand my academic horizons due to the nature of the liberal arts education taking classes I would not have otherwise. Below is a list of classes I have taken and some examples of coursework I have done during my 4 years at Colgate.
Introduction to Economics
Intermediate Microeconomics
Intermediate Macroeconomics
Health Economics
Applied Econometrics
The Economics of Sports
International Finance/Open-Econ Macro
Seminar: Sports Economics
Money and Banking
Intro to Computing I
Intro to Computing II
From Painting to Pixels
Computer Organization
Intro to Computer Systems
Discrete Structures
Software Engineering
Human-Computer Interaction
Natural Language Processing
Roman History
Intro to Studio Art
Legacies of the Ancient World
Video Art
Challenges of Modernity
Native Americans in the Southwest
Intro to Psychological Science
Calculus I
New York City History
This was a Figma design file I had made for my Human-Computer Interaction course where I learned all about what makes user-friendly designs in technology. Together with a group of students, we developed and prototyped software that helps gamers get better at their games. The software would automatically track your tendencies and provide reports and clips of your common mistakes and provide help from top community creators on how you can improve your game.
Human-Computer Interaction was one of my favorite courses at Colgate because it taught me that although I should enjoy what I'm creating, there's always an end-user in mind that is more important. The product is ultimately for a larger audience. I really enjoyed creating user stories and conducting user studies in targeted environments as it helped me understand what made a potential customer more likely to use a product.
The ability to create user-friendly and elegant designs was a lot of fun to learn about and realizing that every part of the screen is important and that sometimes that negative space is important.
In my Applied Econometrics class, I learned how to use different types of models to see the effect of certain variables on outcomes. For my final paper, my friend and I decided to try to find determinants in fantasy football production and look at the correlation between each position.
We used a total of 16 regressions on data scraped from a fantasy data website. We used 5 two-way fixed effect regressions, 5 two-way fixed effect regressions with lagged dependent and independent variables, 4 two-way fixed effect regressions which control for quarterback rushing fantasy points, and 2 two-way fixed effect logit models.
Using Stata to run our regressions, we found significant results, which if you are interested you can read more about in the google doc.
This was a very fun project to do, as I am very passionate about fantasy football. Similarly, I took Sports Economics where I learned all about the financial side of sports.
It was an incredibly interesting class to learn about competitive balance, NIL deals and their effect on college competition, the effect of megaevents on the economy, and much more.
Being a computer science minor, and taking almost all the courses in the computer science department, I recognize the effect that artificial intelligence has on everybody every day. It is impossible to escape the algorithms and immense power these automated systems have and in my class, Ethics of Artificial Intelligence, I further explored just how destructive they can be.
Whether it's discriminating against certain racial groups in job sorting software or even hardware being unable to read darker skin tones because of the lack of diversity in the creation pipeline, it is becoming increasingly important for diversity in tech.
In the paper that I attached I wrote about the unfair practices of Amazon's algorithm to influence how people purchase goods. If you're interested in how Bezos's practices can be unfair you can read about it here.