Anne Draelos, PhD
She/Her
Assistant Professor
Biomedical Engineering
Medicine
Dr. Draelos studied Physics and Computer Science as an undergraduate at NC State University, followed by an ECE master’s and Ph.D. in Physics at Duke University. She then cross-trained and completed a postdoctoral fellowship in systems neuroscience at Duke University. As a faculty at UM, her research focuses on machine learning and statistical techniques to facilitate real-time analysis of high-dimensional neural and behavioral data.
Projects:
Individual-specific models with probabilistic machine learning
University Affiliation(s)
MICDE | MIDAS | MNI Affiliate
Community and Professional Affiliation(s)
Society for Neuroscience
Research Area(s)
Artificial Intelligence | Bayesian Modeling | Neuroscience | Other
Grants
- Principal investigator of: Adaptive Algorithms for Online Neural Modeling
- Principal investigator of: Optimization of stimuli for manipulation of latent neural spaces in real time
- Co-investigator of: Robust Brain Controlled Functional Electrical Stimulation of Hand Movements in NHP