Bradley Akitake, Ph.D.
About Bradley Akitake, Ph.D.
Bradley Akitake, Ph.D., is a scientist and neuroengineer currently working at Kelly Government Solutions at the National Institute of Mental Health in Bethesda, MD. He specializes in analyzing neuronal data and developing computational models of neural activity, utilizing advanced imaging techniques and optogenetic methods.
Current Work at National Institutes of Health
Bradley Akitake, Ph.D., currently works as a Scientist and Neuroengineer at the National Institute of Mental Health (NIMH), part of the National Institutes of Health (NIH), since 2016. In this role, he conducts research focused on neural computation and behavior. He collaborates with Dr. Mark Histed's lab, where he employs advanced imaging techniques, including wide-field and two-photon imaging, to study cortical network functions. His work involves analyzing local field potentials and neuronal spike data, contributing to a deeper understanding of neural activity.
Education and Expertise
Bradley Akitake earned a Bachelor of Science degree in Biology from Harvey Mudd College, completing his studies from 1998 to 2002. He then pursued a Ph.D. in Biophysics, Molecular and Cell Biology at the University of Maryland College Park, where he studied from 2002 to 2007. His academic background provides a strong foundation for his specialization in analyzing neuronal data and developing computational models of neural activity using Python programming.
Previous Positions in Academia
Prior to his current role, Bradley Akitake held several academic positions. He worked as a Postdoctoral Fellow at Johns Hopkins University from 2008 to 2014, where he focused on neural computation and behavior. Before that, he served as a Postdoctoral Fellow at the University of Maryland from 2007 to 2008. He also worked as a Graduate Research Assistant at the University of Maryland from 2002 to 2007, gaining valuable research experience in the field.
Research Specializations
Bradley Akitake specializes in the analysis of local field potentials and neuronal spike data to understand cortical network functions. His research utilizes optogenetic methods to manipulate neuronal activity in mice during behavioral tasks. This approach allows him to explore the relationship between neural activity and behavior, contributing to advancements in the field of neuroengineering and neuroscience.