Kenneth Wengler, PhD
About Me
Dr. Kenneth Wengler joined the faculty at Icahn School of Medicine at Mount Sinai in 2024 as an Assistant Professor in the Department of Psychiatry. His lab applies advanced computational neuroscience approaches and novel magnetic resonance imaging (MRI) methods to study the biological mechanisms of schizophrenia and other neuropsychiatric disorders. Additional focuses of the Wengler Lab are the development of MRI biomarkers for diagnosis and predicting treatment response using machine learning and the use of integrative neuroscience approaches to investigate the genetic underpinnings of altered neural phenotypes in neuropsychiatric disorders.
Dr. Wengler received his BS in Physics from St. John’s University where he conducted research at Memorial Sloan Kettering Cancer Center using MRI to monitor treatment response in cancer patients. He then went on to complete his PhD in Biomedical Engineering at Stony Brook University under the guidance of Dr. Xiang He, where he studied MRI physics and developed novel diffusion-based MRI approaches for measuring exchange, microcirculation, and microstructure in the brain and tendons. Dr. Wengler then completed an NIMH F32 postdoctoral fellowship in Dr. Guillermo Horga's Lab at Columbia University and the New York State Psychiatric Institute. During his postdoctoral training he studied the biological and cognitive mechanisms of psychosis (hallucinations and delusions) in people with schizophrenia using novel MRI approaches and computational neuroscience methods.
Language
Position
Research Topics
Brain Imaging, Computational Neuroscience, Human Genetics and Genetic Disorders, Magnetic Resonance Imaging, Neural Networks, Neuroscience, Psychiatry, Schizophrenia, Translational Research
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Neuroscience [NEU]
About Me
Dr. Kenneth Wengler joined the faculty at Icahn School of Medicine at Mount Sinai in 2024 as an Assistant Professor in the Department of Psychiatry. His lab applies advanced computational neuroscience approaches and novel magnetic resonance imaging (MRI) methods to study the biological mechanisms of schizophrenia and other neuropsychiatric disorders. Additional focuses of the Wengler Lab are the development of MRI biomarkers for diagnosis and predicting treatment response using machine learning and the use of integrative neuroscience approaches to investigate the genetic underpinnings of altered neural phenotypes in neuropsychiatric disorders.
Dr. Wengler received his BS in Physics from St. John’s University where he conducted research at Memorial Sloan Kettering Cancer Center using MRI to monitor treatment response in cancer patients. He then went on to complete his PhD in Biomedical Engineering at Stony Brook University under the guidance of Dr. Xiang He, where he studied MRI physics and developed novel diffusion-based MRI approaches for measuring exchange, microcirculation, and microstructure in the brain and tendons. Dr. Wengler then completed an NIMH F32 postdoctoral fellowship in Dr. Guillermo Horga's Lab at Columbia University and the New York State Psychiatric Institute. During his postdoctoral training he studied the biological and cognitive mechanisms of psychosis (hallucinations and delusions) in people with schizophrenia using novel MRI approaches and computational neuroscience methods.
Language
Position
Research Topics
Brain Imaging, Computational Neuroscience, Human Genetics and Genetic Disorders, Magnetic Resonance Imaging, Neural Networks, Neuroscience, Psychiatry, Schizophrenia, Translational Research
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Neuroscience [NEU]
