Principal Investigator

Catie is the Sally and Dave Hopkins Faculty Fellow and Assistant Professor of Electrical and Computer Engineering, Computer Science, and Biomedical Engineering at Vanderbilt University. She received her Ph.D. in Electrical Engineering from Stanford University in the Radiological Sciences Lab, following undergraduate studies at MIT. She then completed a postdoctoral fellowship in the Advanced MRI Section of the National Institute of Neurological Disorders and Stroke, NIH Intramural Research.

 Research Assistant Professor and Senior Research Engineer

I received my Ph.D. in Computer Science from Vanderbilt University and M.Sc. in Electrical Engineering from Tufts University. My current research centers around one of the key gaps in our understanding of the mechanisms of brain function: inter-individual variability. The overarching goal of my thesis is to find generalizable mappings between observed data and biomarkers of human cognition and behavior, by leveraging state-of-the-art deep learning methods.

Ph.D. Candidate, Biomedical Engineering

I received my B.Sc. in Chemistry from Beijing Normal University and my M.Sc. in Biomedical Engineering from Yale University. Currently, my research focuses on physiologically-induced fMRI signals and their relationship with age. I have two cats, Bean (an orange tabby) and Pinto (the one in the picture, a calico).

Ph.D. Candidate, Biomedical Engineering

My research interests include the application of functional neuroimaging data to the investigation of brain connectivity networks and neural dynamics in neurological disorders such as epilepsy. I received my MS in Biomedical Engineering from the Joint Graduate Program of the University of Memphis and University of Tennessee Health Science Center.

Ph.D. Candidate, Neuroscience

Hello, I received my degree in Chemical Engineering at the University of New Mexico.  My research has focused on using advanced fMRI methodological techniques to investigate how the arousal system relates to cognition, psychiatric disorders, and psychotic disorders. My long term goal is to obtain a tenure track position at an R1 institution. On my free time I like to sing karaoke, cook, and play board games with friends.

Ph.D. Student, Computer Science

I received my B.E. in Biomedical Engineering from Xi’an Jiaotong University and my M.Sc. in Biomedical Engineering from Shanghai Jiao Tong University. My research interests focus on translations between EEG and fMRI as well as brain decoding through deep learning. In my free time, I enjoy playing the guitar and watching anime!

Ph.D. Student, Biomedical Engineering

Joint with Wallace Multisensory Lab

I received my M.A. in Cognitive Science from Edinburgh University and my MRes in Neuroscience from Newcastle University. My research interests include multisensory development and functional neuroimaging. I like to dance and weightlift in my free time! 

Ph.D. Student, Computer Science

I received my B.Sc. in Computer Science and Technology from Peking University. My research interests focus on deep learning methods on EEG-fMRI data. I have a dog.

Ph.D. Student, Computer Science

I received a B.Sc. in Financial Engineering and an M.Sc. in Quantitative Economics. My research focuses on medical image processing, with a special emphasis on applying deep learning techniques to functional neuroimaging. In my free time, I enjoy hiking and exploring various crafts, particularly wood whittling.

Undergraduate RA, Biomedical Engineering

I am majoring in biomedical engineering on the pre-medical track. My research focuses on applying signal processing methods to understand how different neural and physiological signals affect fMRI data, with a particular interest in how these signals relate to clinical outcomes. Currently, I am investigating how neural activity related to vigilance in Alzheimer’s Disease is linked to brain structure and cognitive decline. In my free time, I love to bake and read.

Undergraduate RA, Computer Science, Applied Mathematics, & Neuroscience

My primary research interests include understanding the brain mechanisms behind aging and learning, and in the future I hope to work on neurotechnologies that improve on these areas. My current research in the Neurdy Lab concerns understanding how physiological influences on fMRI BOLD signals change with age.

Undergraduate RA, Child Development and Neuroscience 

I am a current junior at Vanderbilt studying Child Development and Neuroscience and a recent VISE Fellow (2024)! One of my research interests is in investigating large-scale network interactions and global components of fMRI signals in neuropsychiatric disorders, such as anxiety and depression. My current research surrounds the brain-network basis of anxiety in autistic children. In my free time, I enjoy doodling and watching A24 films!

Undergraduate RA, Computer Science & Applied Math

I am an undergraduate student at Vanderbilt studying Computer Science and Applied Mathematics. I am interested in developing scalable machine learning methods, and my current research explores label-efficient methods of modeling physiological data. In my spare time, I enjoy playing badminton!

Research Observer

I have a Master’s degree in Psychosocial Clinical Studies from Ambedkar University, Delhi. At Neurdy Lab, I’m learning about fMRI and brain dynamics to gain an understanding of how neural activity connects with lived experience. My research interests focus on bridging therapeutic practice with neuropsychological research. Outside of lab and conducting therapy work, I enjoy practicing Kathak and retreating to the mountains.