Course design, lecture preparation, public presentation, and successful mentorship of many students.
Practical knowledge about using eye-tracking systems, processing eye-movement data, and analyzing/interpreting those data.
Collection, processing, and analysis of structural and functional neuroimaging data, particularly resting-state fMRI.
Extensive applied and theoretical knowledge of statistics including hierarchical linear models and statistical programming.
Long experience with many high-level programming languages, shell scripting, and Web technologies.
Extensive experience with standard and experimental tests of memory in neurological populations including severely amnesic patients.
I consider teaching and mentorship of undergraduate and graduate students to be a privilege, and I have substantial experience in both classroom instruction and laboratory mentorship. My teaching training has included large lectures and small seminars, and I am comfortable and effective in either setting. Meanwhile, I have also mentored many undergraduate and graduate students through senior projects, first-year projects, and master's theses, and have enjoyed helping students at all levels fulfill their goals. I am excited about the opportunity to mentor students in my own lab, and to sponsor them throughout their education and subsequent careers.
Eye-tracking techniques can provide extraordinary insight into ongoing cognition and previous experience of studied materials. I have extensive experience in the design, implementation, and analysis of eye-tracking studies. I have used eye-tracking systems to monitor the eye movements of healthy participants and neuropsychological patients while they performed cognitive psychology tasks testing memory and other cognitive processes. I am very comfortable with the processing, analysis, and reporting of eye-movement data, and I firmly believe that eye-tracking measures provide a unique perspective on cognitive processes not afforded by other techniques.
I have substantial experience with the collection, processing, and analysis of structural and resting-state functional neuroimaging data. Regarding structural neuroimaging data, I have published volumetric analyses of the hippocampus in a severely amnesic patient based on anatomical tracing, and am currently preparing additional volumetric work for publication. I have also conducted longitudinal analyses of hippocampal volume in a sample of anoxic amnesic patients. Furthermore, I have conducted lesion analysis of patients with focal brain injury due to resection or stroke. Regarding functional neuroimaging data, I have conducted preliminary analysis of resting-state functional connectivity in several brain networks after brain lesion. Additionally, I am actively collaborating on projects examining the importance of various brain regions to cognition and memory based on resting-state functional connectivity.
I have a strong working and theoretical knowledge of statistical techniques from basic descriptive statistics to a variety of advanced statistical techniques. One powerful set of tools that I frequently employ is hierarchical linear modeling (also called linear mixed modeling), which I have found to be extremely useful for analyzing many different kinds of data including behavioral and eye-movement measures. I am also comfortable with a variety of multivariate techniques including clustering and independent component analysis.
I have been working with neuropsychological patients for approximately a decade, and have administered hundreds of hours of experimental tasks. Much of this work has involved research with severely amnesic patients, but I have also worked with many other neurological populations, including survivors of stroke and traumatic brain injury, pre- and post-resection patients, and patients living with dementia. I am comfortable administering and interpreting many neuropsychological tests, especially those addressing memory.