Hi there!

I'm Tate.

I'm a student interested in math, data science, and AI.

More about me...

I'm currently a first-year undergraduate at Carnegie Mellon University, intending to study Mathematics and Machine Learning. As someone who loves puzzles and is constantly curious about how the universe works, I have been fascinated with STEM for many years, particularly mathematics. I have studied math extensively through my school, as well as at a college level at nearby universities. To support this interest, I have also explored computer programming significantly (mostly for data analysis and machine learning). Some of the projects I have worked on are listed below.

In my free time, I enjoy running Cross Country, playing the cello, and reading.

My Projects

I love creating things! Here are some projects I've worked on:

Recognizing Handwritten Math Expressions

A complex problem in machine learning, creating accurate programs to recognize handwritten math expressions has proven difficult. I created and explored the viability of a novel strategy to solve this problem.

Read the paper

Data Science and Social Justice

I find math interesting because of its capacity to tell us things about the world. I created a simple program to run chi-squared tests, analyzing correlations between the history of European colonialism and current-day poverty.

View projects like this

Art within Chaos

This fractal is generated by iterating complex numbers through the Mandelbrot function, but has earned itself the nickname "Buddha-brot" due to its uncanny resemblance to depictions of Gautama Buddha. I created a program to plot this function as a thought experiment for philosophy class.

View the code

A Literal Neural Network

As part of a project for Honors Biology, I created this website to give students a high-level understanding of the basics of neurons and the nervous system. I even made a simulation to let readers experiment with their own networks of neurons.

Try it for yourself

Linear Algebra and 3D Perspective

Perspective drawing — both physical and digital — can be reduced to a few problems of linear algebra. I created this custom 3D renderer under the effects of extreme jetlag while waiting for a Model U.N. conference to begin. Expect some chaos.

Check out the code