I am a senior at Carnegie Mellon University with an interdisciplinary background in computational biology and human-computer interaction, and education. I am interested and have experience in UX research and design and full-stack development.
In this role, I helped develop microinteractions for WeAudit - TAIGA, and developed skills in HTML, CSS, Javascript, and Bootstrap. I worked on backend, making it possible for the next set of user studies to be completed.
I completed two software engineering internships at Argo Ai. One, on the data analytics team, and the other on the camera perceptions team. Both projects covered machine learning algorithms. As a talent acquisitions intern, I worked on building a junior internship program for high school seniors and attended career fairs on behalf of the company.
My role at the CREATELab was focused on engaging with the greater Pittsburgh community. I completed research projects on gentrification and voter education in urban communities.
In this role, I used data and statistical analysis techniques to help identify drug that inhibits cancer cell metastasis. This project won 1st place in the Pennsylvania Junior Academy of Science in the Computer Science Division.
AI-assisted song creation presents both challenges and opportunities for users navigating unfamiliar artistic territories. AI tools like Suno.ai are powerful tools that can help users experiment with different musical approaches. How can LLMs like Suno.ai facilitate more meaningful Human-AI collaborative songwriting experiences?
ImpactLens empowers everyday users of genAI systems to address bias through an interactive bias reporting dashboard and a vibrant discussion forum. See more of what I learned from this project by playing the game!
The GLAM design system was created as part of a group project for the course Advanced Interaction Design at Carnegie Mellon University. I acted as principal user experience designer, where I crafted a seamless user experience.
In this project, I worked with a team to create a prototype for an autonomous moped scooter. The prototype included both physical and digital interfaces.
In this group project done as the final project for the course Computational Methods for Biological Modeling and Simulation, I programmed the stochastic SIR Model for COVID-19 in different age groups.
This group project was done as a final project of Introduction to Machine Learning. We use Word2Vec and Transformer models to take song lyrics of an artist and generate lyrics based on words used in similar contexts.
This solo project was completed as part of the final requirements for Principles of Imperative Computation. The code, written in C, is a compiler for a mock C language, C0.
Thanks for visiting my website! If you are interested in learning more about me, feel free to reach out to me at amirajohnson10@gmail.com .