Jin's blog

<Who is Jin Park?>

He is currently a Ph.D. student in the Department of Computer Science and Engineering at Texas A&M University. He is working as a graduate and teaching assistant in the Brain Networks Lab. His research interests are Computational Neuroscience, Machine Learning, Artificial Intelligence, Deep Learning, and Reinforcement Learning. His research focuses on the relationship between convolutional neural networks (CNN) and human image perception. 

He earned his bachelor's degree in Computer Science from the University of Bristol, graduating with First Class Honors. His bachelor thesis "Representations learnt by SGD and Adaptive learning rules: Conditions that vary sparsity and selectivity in neural network" (link) investigated specific circumstances that naturally increase sparsity and selectivity in a simple neural network. Before joining Texas A&M, he worked at Hyundai Motors Company - Commercial Vehicle Business Innovation Team (Seoul, South Korea) and served as a research assistant at Kyungpook National University - Multidomal Language and Cognition Lab (Daegu, South Korea). 

After joining Texas A&M University, his research has focused on developing biologically inspired convolutional neural networks. By drawing on human visual processing mechanisms, he enhances CNN architectures. During his internship at Tilda Corp. as a machine learning engineer in Summer 2023, he optimized neural networks using genetic algorithms. He also interned as a machine learning engineer at LG Uplus (formerly LG Telecom) and Samsung Life Insurance in Summer 2024. At LG Uplus, he worked on predictive and targeting algorithms, while at Samsung, he focused on optimizing search engines for insurance document retrieval.

<Topics>

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