Andrzej Sokolowski
About Andrzej Sokolowski
I am a neuroscientist and a researcher. I use multidisciplinary approach that combines Neuroscience, Data Science, Psychology, and Neurology. My primary interest is in in-vivo neuroimaging using functional and structural magnetic resonance imaging (fMRI/sMRI). I gained research experience working at or collaborating with University of California San Francisco, Stanford University, University of Warsaw, and Medical University of Vienna. My doctoral research focused on investigating the relationship between early life and recent stress and task-based functional connectivity during emotion regulation. Halfway my PhD study I joined lab at Stanford University where I studied impact of CBT and MBSR therapies on brain functioning during cognitive reappraisal in patients with Social Anxiety Disorder. Currently I am a postdoctoral researcher at the University of California San Francisco (UCSF). Having experience studying healthy and clinical populations I continue to work in clinical setting using neuroimaging in dementia patients, mainly behavioral variant of frontotemporal dementia.I have experience in study design, data collection, data management, data preprocessing and cleaning, implementing pipelines and coding, data analysis, and presenting results in a form of publication and conference communication. My methods include, but are not limited to, structural and functional analysis, seed-based functional connectivity, resting state and task-based imaging. I’m experienced with various software and toolboxes, such as SPM, FSL, CONN, CAT12, MarsBar, fMRIprep, Docker and Singularity containers. I work with Matlab, Python, and Bash on everyday basis. I perform analyses on external servers using high performance computing clusters and workload managers, such as Stanford’s Sherlock and UCSF’s Wynton.