Cross Disciplinary Neural Engineering Fellows
The Cross Disciplinary Neural Engineering (CDNE) Training Program, supported by a T32 grant from the National Institute of Neurological Disorders and Stroke, an institute within the U.S. National Institutes of Health, provides fellowships to graduate students who have been admitted to the CDNE Training Program. The CDNE Fellowship program is coordinated by the Center for Neural Engineering.
2024-2025 CDNE Training Fellows
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Colleen Boucher
Neuroscience
Adviser: Bruce Gluckman
Research: Intersecting computational and biological methods for understanding the complexities of the brain, specifically as it relates to the resilience /fragility of cognition.
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Victoria Nudell
Molecular, Cellular, Integrative Biosciences (MCIBS)
Adviser: Nikki Crowley, Ph.D.
Research: Investigating the impact of estrogen on Alcohol Use Disorder on the brain. Utilizing emerging technologies and robust techniques to investigate how models of binge alcohol consumption in mice are influenced by reproductive cycling in females.
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Matthew Olmstead
Acoustics
Adviser: Yun Jing
Research: Transcranial photoacoustic imaging of the human brain enhanced by deep learning
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Baizhou Pan
Biomedical Engineering
Adviser: Andrew Geonimo
Research: Investigating the relationship between Brain-Computer Interfaces performance (BCIs), perception, and behavior, with a specific emphasis on applying BCIs for improving communication in patients with Amyotrophic Lateral Sclerosis.
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Deniz Parmaksiz
Neuroscience
Adviser: Yongsoo Kim
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2023-2024 CDNE Training Fellows
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Cody Kubicki
Biomedical Engineering
Adviser: Keefe Manning
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Michael Wenke
Neuroscience
Adviser: Patrick Drew
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Shubham Mirg
Biomedical Engineering
Adviser: Sri-Rajasekhar Kothapalli
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Ankan Dutta
Engineering Science and Mechanics
Adviser: Huanyu Cheng
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2022-2023 CDNE Training Fellows
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Madison Kuhn
Biomedical Engineering
Adviser: Elizabeth Proctor
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Derek Sederman
Physics
Adviser: Dezhe Jin
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Md Shakhawat Hossain
Biomedical Engineering
Adviser: Patrick Drew
Research: The impact of sleep on brain hemodynamics, waste clearance, and neurodegenerative diseases.
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2021-2022 CDNE Training Fellows
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Dennis Chan
Biomedical Engineering
Adviser: Nanyin Zhang
Research: Functional MRI; neuroinflammation; cognitive behavior; neurodegeneration; multi-modal analysis
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Haoyang Chen
Biomedical Engineering
Adviser: Sri-Rajasekhar Kothapalli
Research: Developing novel ultrasound and photoacoustic modalities for brain hemodynamics imaging
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Keeley Naylor
Engineering Science and Mechanics
Adviser: Bruce Gluckman
Research: Neural recording and modulation; seizure dynamics and modeling; multi-modal instrumentation; medical device design
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