I received my PhD from Washington State University, where I worked at the Embedded Machine Intelligence Lab (EMIL) under supervision of Dr. Hassan Ghasemzadeh. I am interested in the real-world challenges of working with machine learning models, such as model efficiency and learning ability. Specifically, I am focusing on Model Optimization (e.g., model compression) and Continual (Lifelong) Learning, and my goal is to build efficient learning algorithms that help machines learn the same as humans. Before joining EMIL, I was an ML Engineer at Sokhan AI, where we provided accurate and scalable Natural Language Processing (NLP) and Computer Vision (CV) services to businesses.