Cameron McIntyre, PhD – Principal Investigator

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Cameron McIntyre, PhD, was born in Marietta, OH in 1974. He received his BS and PhD in Biomedical Engineering from Case Western Reserve University in 1997 and 2001, respectively. His doctoral research focused on the biophysics of the interaction between electric fields and neurons. From 2001 to 2003, he performed postdoctoral training at Johns Hopkins University and Emory University where he studied deep brain stimulation (DBS). In 2003 he joined the faculty at the Cleveland Clinic Foundation and maintained a laboratory there until 2012. In 2013, the McIntyre lab moved to Case Western Reserve University to create the Case Neuromodulation Center.

Cameron is currently appointed as the Tilles-Weidenthal Professor in the School of Medicine Department of Biomedical Engineering. Financial support for the lab has been primarily derived from multiple National Institutes of Health research grants that focus on the neurophysiological effects and engineering design of DBS systems. The fundamental goal of the research program is to use knowledge on the therapeutic mechanisms of DBS to better engineer the next generation of DBS technology. Of particular note, the McIntyre lab invented the GUIDE DBS clinical programming system which was commercialized by the spin-off company IntElect Medical Inc., then acquired by Boston Scientific Neuromodulation Corp and now has CE Mark approval in Europe.

Angela Noecker, BS – Research Associate

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‌Angela is an engineer from Cleveland, OH who writes software and provides support for other members of the McIntyre lab. She graduated from Nebraska Wesleyan University with a BA in Physics, Washington University – St. Louis with a BS in Mechanical Engineering and has 10 years of experience developing medical devices in industry. Her work involves creating software packages that allow patient-specific 3D visualization of MRI and CT brain images, stereotaxic frame data, electrode models, nuclei atlases and neurophysiological microelectrode recording data in a common frame of reference.

Bryan Howell, PhD – Research Scientist

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Bryan is a transplant from South Texas. He received his BS in Biomedical Engineering and a Minor in Mathematics from The University of Michigan (Ann Arbor) in 2009. In 2015, he obtained his PhD in Biomedical Engineering at Duke University, contributing a body of work on improved electrode design for stimulation of the brain and spine, and in 2018, he completed  a fellowship on multi-modal neuroimaging and its application to computational medicine, namely for the treatment of Parkinson's disease and intractable depression with deep brain stimulation.

Bryan is now a Research Scientist managing projects both internally and externally with clinical collaborators at the Mount Sinai Health System and Emory University. His projects have three points of focus: (1)  testing new dosing and targeting strategies for treatment of intractable depression with subcallosal cingulate DBS, (2) identifying the neural targets underlying symptom improvements in subthalamic DBS for Parkinson's disease, and (3) developing new models and methods to study the mechanisms of action of transcranial electrical stimulation.


Sinem Balta Beylergil, PhD – Postdoctoral Fellow

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Sinem is a postdoctoral fellow originally from Turkey. She graduated from Bogazici University in Istanbul, Turkey, with a BS in Systems and Control Engineering and an MS in Biomedical Engineering. After a five-year experience as a biomedical engineer in several global healthcare companies, she obtained her Ph.D. in computational neuroscience from the Technical University of Berlin. In her Ph.D. dissertation, she used reinforcement learning models, Bayesian inference and brain imaging to understand the reward-based learning and decision-making impairments in alcohol addiction. Sinem joined our lab in the fall of 2016. Her current research focuses on using deep brain stimulation to modulate the self-motion perception to restore balance in Parkinson’s Disease. Additionally, she is interested in using quantitative data and machine learning to assist with the diagnosis and treatment decisions for patients with movement disorders.

Kelsey Bower, BS – Graduate Student

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Kelsey is a PhD candidate in Biomedical Engineering from Shawnee, PA. She graduated from Johns Hopkins with a BS in Biomedical Engineering. Her research focuses on using fiber tractography and neural activation models to identify white matter pathways responsible for the therapeutic benefits and side effects of DBS. The ultimate goal of her work is to advance our understanding of the neural circuitry involved in STN DBS to improve patient specific DBS targeting.

M. Sohail Noor, PhD – Postdoctoral Fellow

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Sohail is a postdoctoral fellow originally from Pakistan. He completed his Bachelors and Masters in electrical engineering from NED University, Karachi. After several years of industry experience, he returned to academia to pursue a Masters in biomedical engineering. He received a prestigious Erasmus Mundus Scholarship and completed a joint Masters degree in Biomedical Engineering from Trinity College Dublin, Ireland and University of Groningen, Netherlands in 2012. Sohail obtained his PhD in Biomedical Engineering at the University of Calgary, Alberta in April 2018 where he investigated neurovascular coupling during deep brain stimulation (DBS) in rodents using simultaneous intrinsic optical imaging and electrophysiological recording. In addition to his doctoral research, Sohail also participated in more than 150 DBS surgery cases and obtained extensive experience in microelectrode recording during brain mapping.

Sohail’s current project is to create biophysical models of evoked potential generation in the motor cortex during subthalamic DBS. In the long term, Sohail wants to combine experimental and modelling techniques to further our understanding of DBS, improve this therapy and help expand it to new neurological and psychiatric conditions.

Mikkel V. Petersen, MD, PhD – Postdoctoral Fellow

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Mikkel is a postdoctoral fellow from Aarhus, Denmark. Mikkel completed his Medical Degree in 2015 and his PhD in 2017 at Aarhus University. His PhD and recent postdoctoral work has focused on implementing advanced diffusion MRI acquisitions and evaluating the clinical use and limitations of tractography in patients undergoing DBS. His current research focuses on developing an Augmented Reality platform for visualisation of basal ganglia structures and pathways in relation to implanted DBS leads.

Anneke Frankemolle-Gilbert, MS – Research Associate

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Anneke is a PhD candidate in Biomedical Engineering from the Netherlands. She graduated from Delft University of Technology with a BS in Mechanical Engineering and an MS in Biomedical Engineering. Her research focuses on optimizing the therapeutic benefits of subthalamic DBS while minimizing DBS-induced side effects in patients with Parkinson’s disease. Her current project will couple fiber tractography with electric field modeling to identify inadvertently stimulated neural pathways resulting in side effects.



Clayton Bingham, Ph.D. - Postdoctoral Fellow

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Clayton is a postdoctoral fellow who joined the group in 2019. Originally from Utah, he received his B.S. in Biology at Utah State University and M.S. in BME at University of Southern California. Clayton began his professional career as a data scientist in information services and private equity consulting. Clayton then continued his graduate training (Ph.D., 2018) at the University of Southern California, where he studied potential hippocampal prostheses for the treatment of temporal lobe disorders. In his Ph.D. dissertation he demonstrated how multi-scale models can predict how hippocampal behavior is modulated by micro-electroceutical devices. Ultimately, he was able to predict hippocampal evoked potentials under varying stimulating conditions. This effort involved integrating numerical electromagnetics, complex neural modeling, computer visualization, and parallel computing. His current work focuses on understanding the level of biological realism in neural modeling required to accurately predict the therapeutic efficacy of subthalamic deep brain stimulation to treat essential tremor and Parkinson's disease.  Specifically, he aims to study the influence of axonal branching on spatiotemporal patterns of activity elicited by STN DBS.  



Notable Lab Alumni

  • Chris Butson, PhD – University of Utah
  • Michael Moffitt, PhD – Boston Scientific Neuromodulation
  • Matt Johnson, PhD – University of Minnesota
  • Svjetlana Miocinovic, MD, PhD – Emory University
  • Luis Lujan, PhD – Mayo Clinic
  • Ashu Chaturvedi, PhD – Kernel
  • Scott Lempka, PhD – University of Michigan
  • Tom Foutz, MD PhD – Washington University
  • Nick Maling, PhD - Boston Scientific