Hello! I'm a recent graduate of Olin College of Engineering who is looking for software engineering or data management and analytics work. I'm a programmer with a wide variety of experiences, such as data science work, website and app programming, robot programming, and even social science research. I also enjoy playing guitar, listening to music, playing Wordle, and spending time with my friends.
This project is to create an as-yet unnamed tool to assist transgender people in voice training. Voices have many factors that affect their perceived gender. Some, such as pitch, can be measured easily, and there are tools to measure and track pitch changes. Others, like resonance and vocal fry, are difficult or impossible to measure directly. I am creating an app to track all of these factors, using machine learning to model the characteristics that can't be easily measured. The app is still in development and not yet ready for beta testing.
NHAT was developed by Olin College Students (including myself) as a Senior Capstone Project in 2023. National High Injury Network Analysis Tool (NHAT) is a free national tool that allows communities to generate interactive HIN maps and understand the relationship between safety, equity, and other contextual factors.
For our Astronomy and Statistics class, we had a project to do some statistical research given a dataset of lunar craters and write a scientific paper about it. I chose to research crater density at different latitudes of the lunar surface.
For our Principles of Engineering class, we had a project to build a robot. We decided to create a robot that draws without using a gantry system. I worked on programming a website to convert an image to instructions, and using those instructions to run the robot.
In Summer 2020, I researched usage and equity of shared mobility systems in Providence, RI. We used R to analyze data from the systems, and created a Shiny app to allow Providence city planners to explore the data.
For Data Science, our group decided to analyze racial disparities in COVID cases. We found a dataset with racial data on COVID cases, tests, and deaths, and analyzed its trends and uncertainly. We concluded that there are racial disparities in COVID data, but incomplete data could be obscuring more information.