Data plays an important role in our lives, it is critical to know when and how to use statistics.
As a postdoctoral researcher, data analysis has been an integral part of my training in both experimental psychology and neuroscience.
I focus on generating analyses that are transferrable to colleagues and can be maintained.
I emphasize transparency, data literacy, high quality visualization, and interpretation of statistical analysis.
I have a passion for generating functional solutions.
Developed analysis pipelines for lab trainees to use, and a new method for analyzing recordings of interconnected neurons. Gained experience with team leadership, trainings students, and coding methods. Gained experience with diverse coding methods.
Studies included psychology, advanced statistics, seminar courses in neuroscience, and computational modeling. Gained experience in lab management, training students, and university level teaching (Introduction to Statistics for Psychology, ~60 undergraduates).
Coursework focused on psychology, statistics, research, physiology, and biology. Gained experience as volunteer researcher in cognitive psychology lab, tutoring, and mentoring.
The lab needed a pipeline for automated processing of intracellular recordings that could be maintained by future students.
Analysis of neurons recorded with multi-electrode arrays was cumbersome and occurred on a single file basis. My tasks were to: