Maddie is a research scientist with doctoral training in computational neuroscience, and a storyteller with intensive undergraduate training in acting and voice work. This unique combination of specialties has enabled over twelve years of behavioral neuroscience training and empirical investigation into human cognition and decision-making at three of the most rigorous research institutions in the country.
Following publication of several academic papers in peer-reviewed journals, Maddie now threads together interdisciplinary techniques in research design, data visualization, and science communication to make sense of the latent behavioral and societal phenomena that impact our lives today.
EXPERIENCE
1 - Behavioral Neuroscience Research & Functional Magnetic Resonance Imaging
2 - Mental Health Advocacy & Crisis Intervention, Curriculum Development for COVID Hospital Employees
3 - Multi-language Paradigm & Analysis Programming, Machine Learning & Computational Modeling
4 - Survey Design, Data Analysis, Descriptive & Inferential Statistics, Data Visualization, Science Communication
SKILLS
Languages: Russian (Intermediate), Spanish (Intermediate), Irish (Novice)
Programming (alphabetical): MATLAB, R, Python, SQL, matplotlib, E-Prime, Neuroscan, EEGLAB, AFNI, FreeSurfer, Analysis of Functional NeuroImages (AFNI), Statistical Parametric Mapping, Functional Connectivity Toolbox (CONN), fmriprep, Adjusted Local Connectivity (ALC)
Imaging Methods: Functional MRI (fMRI), Structural MRI, Electroencephalography (EEG), Positron Emission Tomography (PET)
Statistical Analysis (alphabetical - MATLAB preferred): 1-Sample T-Test, 2-Sample T-Test, Paired T-Test, Analysis of Variance (ANOVA, MANOVA), Bayesian Model Estimation & Comparison, Bonferroni Correction, Chi-Square Analysis, Confusion & Inversion Matrices, Correlational Analysis (Pearson's r), General Linear Models, K-means Clustering, Linear Mixed-Effects Modeling, Logistic & Multiple Regression Analysis, Longitudinal & Time-Series Analysis, Markov Chain Monte Carlo Simulation, Principal Components & Factor Analysis, Wilcoxon Rank Sums Test