Gandi Erdenebaatar

Gandi is a second-year student double majoring in Statistics and Computer Science at UTM. Her research interests involve statistical modeling, data augmentation strategies, and refining training pipelines for convolutional neural networks. She is particularly drawn to the RLEA's innovative use of pretrained CNN architectures such as VGG19 for automated detection of multi-cell phytoliths.