I received a degree in Mathematics and Computer Science from the University of Utah in 2020. During undergrad, I researched the Gaussian process with mentorship from Ross Whitaker. After school, I worked at Strive Health and Biomerieux implementing academic models in industry. These experiences drove my desire to try to expand our knowledge of machine learning.
I am a graduate student of Professor Mike Kirby and Professor Shandian Zhe. Currently, I am researching methods of Symbolic Regression and interpretable models.
- Interpretable Machine Learning
- Symbolic Regression
- Deep Learning Architectures