I am an Assistant Professor in the Department of Computer Science, Davis College of Science and Engineering, at Texas Christian University. My research connects artificial intelligence with questions in solar physics and space weather. I am interested in how machine learning can reveal useful patterns in scientific data—and how we can understand and trust what these models learn.
My work focuses on explainable deep learning, continual learning, and image analysis. I develop methods to examine why a model makes a prediction and to help models adapt as new data becomes available. Space weather forecasting provide challenging, practical settings for this work.
I earned my Ph.D. in Computer Science at Georgia State University, where I was advised by Dr. Berkay Aydin. My dissertation, “Explainable Deep Learning for Prediction of Rare Events,” explored interpretable models for solar flare forecasting. In 2024, I joined the NASA-partnered Frontier Development Lab as a scientific researcher, working on continual learning for forecasting ground-level geomagnetic perturbations.
At TCU, I teach Deep Learning, Data Science, and Data Mining and mentor students as they develop their own research questions. I enjoy working across disciplines and connecting ideas in computing with the scientific problems that motivate them.