cv

Click the icon for a pdf of my full CV, or see below for a quick overview of my background.

Basics

Name Fiona Molloy
Label Computational Cognitive Neuroscientist
Email mfionamolloy@gmail.com
Url https://fiona-molloy.github.io/
Summary Post-doctoral fellow at the University of Michigan

Work

  • 2023 - current
    Postdoctoral Research Fellow
    Addiction Center, University of Michigan
    T-32 Postdoctoral Fellowship is funded by the National Institute on Alcohol Abuse and Alcoholism - T32 AA007477-29

Education

  • 2018 - 2020
    Master of Science
    The Ohio State University
    Cognitive Psychology
    • Thesis: An integrative model of response inhibition
  • 2018 - 2020
    Master of Applied Statistics
    The Ohio State University
    Statistics
  • 2018 - 2023
    PhD
    The Ohio State University
    Cognitive Neuroscience
    • Dissertation: Individualized brain mapping in infants, adolescents, and adults
    • Advisors: Dr. Zeynep Saygin and Dr. David Osher
  • 2014 - 2018
    Bachelor of Science
    The Ohio State University
    Neuroscience
    • Major concentration: Behavioral/systems neuroscience
    • Minor: Substance misuse and addiction
    • Minor: Integrative approaches to health and wellness
    • Research distinction in neuroscience

Skills

Neuroimaging
Task-based fMRI collection, processing, analysis
Resting-state fMRI collection, processing, analysis
Network neuroscience, graph theory
FSL, FreeSurfer
Modeling and Statistics
Bayesian statistics
Joint modeling
Multivariate predictive modeling
Cognitive process models
Coding
R
MATLAB
JAGS
Shell-scripting

Interests

Cognitive neuroscience
Computational modeling of the link between brain and behavior
Cognitive process models of decision-making
Neuroimaging (fMRI)
Connectomics and higher order networks
Development from infancy to adulthood
Substance use
Risky decision-making and substance use
Dynamics of cognitive processes in addiction
Risk factors in adolescence
Delay discounting
Computational Modeling
Bayesian modeling
Individual differences
Joint models of brain-behavior
Multivariate predictive methods