Brianna M
- Research Program Mentor
PhD candidate at University of California San Diego (UCSD)
Expertise
Neuroscience, Machine Learning, Artificial Neural Networks, Neural Modeling, Philosophy of Neuroscience
Bio
Hello! My name is Bri Marsh, I am a third year Ph.D. student studying Computational Neuroscience at the University of California, San Diego. I currently work on machine learning methods for automated seizure detection and computational models of how to prevent seizures following traumatic brain injury. I have previously used artificial neural networks to model the monkey visual system, and to decode intent to speak from human EEG recordings. Outside of work, I love trying new restaurants and having beach picnics with my mini husky Kai! I also love yoga, meditation, and a hot cup of tea with a good book.Project ideas
Machine Vision: Modeling the Visual System
We will start with a basic computational model of a single neuron, and progress to large networks of increasing complexity. At the end, we will have a model of the visual system capable of identifying hand-written numbers as well or better than humans can!
Diagnosing Alzheimer's Disease with Machine Learning
This project applies machine learning to a practical problem - early diagnosis of degenerative brain diseases. We will use publicly available brain scan images of individuals who are health, have mild cognitive impairment, or suffer from Alzheimer's disease. We can feed these images into a convolutional neural network, or extract features from the images to use with a different machine learning technique, with a goal of identifying subjects who may progress to Alzheimer's disease. This will serve as a great introduction to the uses of machine learning in health care!