I am a graduate student focused on machine learning theory, with research interests in statistical learning theory, optimization, generalization, quantization, and representation learning. My work aims to understand and improve the theoretical and algorithmic foundations of learning systems, with an emphasis on efficiency, scalability, and robustness.

I completed a Master of Science in Computer Engineering with a specialization in Artificial Intelligence and Machine Learning at Northeastern University in 2025 and am currently pursuing a Graduate Certificate in Applied Mathematics at Northeastern to further strengthen my mathematical foundation for research in learning theory. Prior to this, I earned a Bachelor of Science in Software Engineering, with a concentration in Data Science, from Iowa State University in 2022.

My research and project experience spans deep learning, reinforcement learning, and algorithmic problem-solving, with a consistent focus on bridging theoretical analysis and scalable, efficient implementations.