I am always asking how machines can be trained to think like humans. Specifically, I want to bridge the gap between biological intelligence and artificial neural networks by optimizing how deep learning architectures retain complex data.

I focus my work on the intersection of computational neuroscience and computer science. I have built machine learning pipelines to analyze colon cancer patient data. I have also utilized mathematical equations to build and model neural networks. Concurrently, I have also used AlphaFold to visualize protein folding as part of a research lab. Driven by a commitment to expand AI and computer science education in my community, I also work with the Mark Cuban AI Foundation. Through my work, I have reached over 1000 students and educators nationwide.